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Use Cases in Education

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Education Use Cases
AI-Driven Disaster Management
Brief description
This use case addresses the problem of lack of proper response and relay mechanisms when disasters hit India. The proposed solution is a centralised disaster response and inventory management system that uses AI to predict and manage disaster responses effectively.
Development stage
Target industry
TechToolsPackage GPT for AI/ML Projects
Brief description
This use case addresses the problem of students aspiring to do AI/ML projects but lacking the necessary information and infrastructure. The proposed solution is to create a TechToolsPackage GPT that can analyze their project requirements and suggest available, cost-effective compute resources and APIs available in India for their projects.
Development stage
Target industry
Climate Resilient Agriculture
Brief description
The use case addresses the problem of making agriculture in India resilient to climate change. The proposed AI-based solution is to build a tool that maps farmer agri practices to hyperlocal climate and other data. This will help in building more relevant and accurate prediction models.
Development stage
Target industry
Voice-Enabled Health Summaries
Brief description
The use case is addressing the problem of converting digital records of patient health summaries into speech. The AI-based solution is a digital health summary. The technology or approach used is still in the MVP stage. The domain/track is Health.
Development stage
Target industry
Conversational Health Data Gathering
Brief description
This use case addresses the problem of collecting patient health information. The AI-based solution, Conversational Health Data Gathering, employs ASR technology to facilitate the collection of patient health information through natural dialogue. The project is currently in the pilot stage and falls under the Health domain.
Development stage
Target industry
Skillset Mapping and Opportunity Matching
Brief description
This use case addresses the problem of college students and working professionals not getting enough opportunities and resources to showcase their skillsets. The solution is to create a map of every individual’s skillsets and interests, map opportunities on the other end and match the two. Through results of their interaction, add to individual’s skill and review of the opportunity.
Development stage
Target industry
AI for Accessibility: Voice-Activated Internet Agents
Brief description
Working on AI for accessibility- using LLMs as LAMs and make them perform actions on the internet - entirely open source alternative to silicon valley’s some of the most well funded startups. Agents will become first class citizens on the internet. Imagine saying a task in voice and getting it done in front of you over your own browser. I think this will unlock massive value not only in terms of productivity but also accessibility as well
Development stage
Target industry
No-Code AI Automation
Brief description
Process automation using No-code AI tool builder. Back-office or Niche departments often rely on excels and manual work leading to inefficiencies and unnecessary work. Existing automation tools are hard to setup and require elementary level of familiarity with the tool. Using my product, a back-office staff can describe their problem and existing solution to the AI. The AI will generate an app that automates their task specific to that problem and host it on the cloud or on-prem basis user preferences.
Development stage
Target industry
MythoLearn: Interactive Learning through Mythology
Brief description
The use case is addressing the problem of creating an engaging and educational platform for kids. The proposed solution is a multi-modal gen AI app that incorporates mythological stories of India. The app will feature age-appropriate stories with voice bot integration, mazes with blockers as mentioned in stories, interactive puzzles, fun quizzes, and guided art activities.
Development stage
Target industry
On-Device Multimodal LLM for Diagnostic Assistance
Brief description
This use case explores the viability of using an On-Device Multimodal LLM for assisting doctors in their diagnosis using their own database of previous users and the patient history. The AI-based solution involves adding tools to perform longitudinal analysis with the imaging data and identify novel biomarkers. This secure, local approach leverages the data of a hospital/clinic to provide new and more accurate insights. An end-to-end solution like this could help in diagnostic accuracy and help make better decisions.
Development stage
Target industry
Harmony: AI for Indian Classical Music
Brief description
This use case addresses the problem of analysis and synthesis of Indian Classical Music. The AI-based solution uses a combination of neural and symbolic processing to analyze and synthesize Indian Classical music. Certain parts are done in traditional speech processing for recognition and analysis of audio signals. Some of them are done using symbolic processing for generating & synthesizing notes. Finally some neural (transformer/latent diffusion based models) for parsing and synthesizing audio.
Development stage
Target industry
AI Copilot for Teachers
Brief description
AI Copilot for teachers to reduce manual work involved in managing students so they can concentrate more on teaching. One use case is to use AI to check and score subjective exam papers. For this OCR technology and GPT intelligence will be used. It reduces the manual overhead of teachers.
Development stage
Target industry
Smart Learning for All
Brief description
Working on GenAI for a use case on Smart Learning for all. Using Gemini for smart learning through different types of tools - Using Socratic style, with Text and Voice based inputs and outputs and also with choice of the language of users choice. This is also implemented with specific hardware for Autistic children.
Development stage
Target industry
AI Thought Organizer
Brief description
The use case is addressing the problem of organizing thoughts and tasks for users. The solution is an AI-based knowledge management assistant that uses LLMs to classify topics and generate summaries, helping users visualize and query their thoughts and tasks better.
Development stage
Target industry
AI for Bharat's Youth Skill Building
Brief description
The use case addresses the problem of skill building for Bharat's youth using AI. The AI-based solution is a platform that can teach people in their language, at their level and help them overcome their learning challenges.
Development stage
Target industry
Social Life Manager
Brief description
This use case addresses the problem of managing social life by understanding a person's journey and connecting them to relevant coaches, social events, and groups to enhance their progress. The AI-based solution involves analysing the person's personality and values according to their interaction with the app, based on human behaviour and principles of psychology. It maintains a database of expert coaches and social events, and dynamically connects the user with the people and events from the database depending on where they are in their journey.
Development stage
Target industry
Smart Mentor
Brief description
Psychological disorders identification and mentoring among college students using Smart Mentor - a chatbot for psychology disorders identification and mentoring
Development stage
Target industry
AI Chatbot for Climate-Smart Agriculture
Brief description
This use case addresses the challenges faced by small and marginal farmers in India due to climate change, resource constraints, and information gaps. The AI-based solution involves a WhatsApp-based AI chatbot that provides real-time weather updates, crop advisory services, disease and pest management, soil health management, climate change adaptation, market information, and personalized recommendations. The chatbot is designed to be user-friendly, accessible, and communicates in local languages.
Development stage
Target industry
Who is most impacted
The most impacted by this use-case/solution are the small and marginal farmers in India.
This AI-based WhatsApp chatbot is specifically designed to address the challenges faced by these farmers, as they have limited landholdings, lack of resources, and vulnerability to market fluctuations. By providing personalized recommendations, real-time updates, and guidance on sustainable agriculture, the chatbot aims to:
Improve crop yields: By optimizing farming practices and adapting to changing conditions.
GenAI Financial Assistant
Brief description
GenAI based financial assistant that allows people to ask the most basic questions around investing, but also allows them to find products to invest in. Financial literacy levels are extremely low in India, and while there's a growing number of investors in the market, there's little to no guidance given to them. We're working to bridge that divide and help people invest better. The the 100s of millions of investors coming in to the market, there's only one solution to address the problem and that is using AI. The scale of users simply cannot be addressed through manual means. We are building a GenAI based solution to allow people to have a conversation about their financial needs and be better informed while making a decision.
Development stage
Target industry
AI Therapist
Brief description
AI persona of therapists
Development stage
Target industry
Mood Translator
Brief description
Translate language of clients & understand their mood swings
Development stage
Target industry
AI Mood Detector
Brief description
The use case is addressing the problem of mood detection. The AI-based solution involves an interactive game where the AI asks the user to perform certain tasks such as drawing or coloring. The AI then analyzes the user's concentration level during the game to deduce their mood. The idea is currently in the idea stage and falls under the domain of Mental Health.
Development stage
Target industry
Solar Sentinel
Brief description
Monitoring solar panels in real-time to detect faults and anomalies for optimal performance and maintenance of solar PV systems. The solution involves using computer vision technology for real-time monitoring of solar panels to detect faults and anomalies.
Target industry
Who is most impacted
solar energy companies and maintenance teams
Solar Energy Predictor
Brief description
Predicting solar energy generation based on weather conditions and historical data for efficient grid management and energy trading. The AI solution leverages machine learning algorithms to analyze weather data, historical energy production, and other relevant factors to predict solar energy generation with high accuracy.
Target industry
Who is most impacted
grid operators, energy traders, renewable energy developers
Solar PV Performance Optimization
Brief description
The use case addresses the problem of optimizing the performance of solar PV plants by detecting anomalies and issues in real-time. This is achieved by monitoring various parameters like panel temperature, voltage, and current. The AI-based solution involves using computer vision algorithms to analyze images and videos for anomaly detection in solar PV plants.
Target industry
Who is most impacted
Solar PV plant operators
EcoData - Energy Optimization for Data Centers
Brief description
Optimizing energy consumption in data centers in India to reduce operational costs and environmental impact using predictive analytics
Target industry
Who is most impacted
data center operators, energy providers, and environmental organizations
AI for Agriculture: Predictive Crop Yield
Brief description
This use case addresses the problem of improving crop yield prediction for farmers in India. The uncertainties caused by weather conditions, soil quality, and pest infestations pose a significant challenge. The AI-based solution involves utilizing machine learning algorithms to predict crop yields based on historical data and environmental factors.
Target industry
Who is most impacted
farmers, agricultural experts, government agencies
AI-Optimized Hospital Resource Allocation
Brief description
This use case addresses the problem of improving healthcare services by optimizing hospital resource allocation and scheduling. The AI-based solution uses predictive analytics and machine learning algorithms to forecast patient admissions, allocate resources efficiently, and optimize scheduling to reduce wait times. The next steps include implementing the AI solution in more healthcare facilities, gathering feedback, and making necessary adjustments for full-scale deployment.
Target industry
Who is most impacted
hospitals, healthcare providers, patients
AI-Powered Personalized Recommendations
Brief description
This use case addresses the problem of enhancing customer experience in the e-commerce industry by providing personalized product recommendations. The AI solution uses collaborative filtering and natural language processing (NLP) to analyze customer behavior and preferences. It then generates personalized product recommendations based on this analysis.
Target industry
Who is most impacted
e-commerce companies and their customers
Real-time Misinformation Detection
Brief description
Addressing the issue of misinformation and fake news spreading rapidly on social media platforms, leading to confusion and distrust among users. The solution utilizes Natural Language Processing (NLP) to analyze and detect misinformation in real-time.
Target industry
Who is most impacted
social media users, content creators, platform administrators
CyberGuard: AI Shield Against Online Harassment
Brief description
This use case addresses the problem of online harassment and cyberbullying, which can have severe psychological impacts on victims. The solution involves implementing a machine learning model that can identify and filter out abusive language and harmful content in real-time. The model uses sentiment analysis and keyword detection to flag and remove offensive posts before they reach the intended target.
Target industry
Who is most impacted
social media users, victims of harassment, platform moderators
Telecom Churn Predictor
Brief description
Predicting customer churn in the telecom industry to prevent revenue loss using machine learning algorithms
Target industry
Who is most impacted
telecom companies and their customers
Legal Document Classifier
Brief description
Automating document classification for a legal firm. The problem involves sorting and categorizing legal documents based on content and relevance. The solution utilizes natural language processing (NLP) to analyze the text of legal documents and classify them into predefined categories.
Target industry
Who is most impacted
Legal professionals and support staff
AI-Enhanced E-commerce Personalization
Brief description
This use case is addressing the problem of enhancing personalized recommendations in e-commerce by improving the accuracy and relevance of product recommendations for online shoppers. The AI-based solution employs collaborative filtering algorithms and customer behavior analysis to generate personalized product recommendations based on past purchases, browsing history, and preferences.
Target industry
Who is most impacted
e-commerce platforms and customers
AI-Powered Customer Service in Banking
Brief description
The use case addresses the problem of improving customer service in the banking sector. The problem is to reduce wait times and provide personalized assistance. The AI-based solution involves implementing a chatbot powered by Natural Language Processing (NLP) to handle customer queries, provide instant responses, and escalate complex issues to human agents. The chatbot can also analyze customer data to offer personalized recommendations and solutions.
Target industry
Who is most impacted
bank customers and customer service representatives
AI-Optimized Healthcare Operations
Brief description
This use case addresses the problem of enhancing healthcare services by optimizing hospital operations and improving patient care. The solution involves deploying a predictive analytics system that uses Machine Learning algorithms to forecast patient admissions, optimize staff schedules, and allocate resources efficiently. The system can also analyze patient data to identify high-risk individuals and provide personalized treatment plans.
Target industry
Who is most impacted
healthcare providers, patients, hospital administrators
Synthetic Data Generation with GANs
Brief description
The use case addresses the problem of generating synthetic data for training machine learning models, which is a time-consuming and resource-intensive process. The AI-based solution involves using generative adversarial networks (GANs) to create synthetic data that closely resembles real data.
Target industry
Who is most impacted
data scientists, machine learning engineers, and researchers
Text-to-Image Synthesis
Brief description
The use case addresses the problem of text-to-image synthesis, which involves generating realistic images from textual descriptions. The AI-based solution utilizes NLP and computer vision techniques to address this problem.
Target industry
Who is most impacted
graphic designers, content creators, researchers
AI-Powered Virtual Assistants for Employee Support
Brief description
This use case addresses the problem of employees spending a significant amount of time on repetitive tasks and queries that can be automated. The solution is to develop AI-powered virtual assistants to automate tasks and provide support to employees.
Target industry
Who is most impacted
Employees
Predictive Maintenance
Brief description
Predicting equipment failures to prevent downtime and reduce maintenance costs. Implement AI algorithms to predict equipment failures before they occur
Target industry
Who is most impacted
Maintenance team
Fraud Buster
Brief description
Detect and prevent fraudulent activities in financial transactions by implementing AI algorithms to detect fraudulent activities in real-time
Target industry
Who is most impacted
Financial institutions
24/7 AI Customer Support
Brief description
This use case addresses the problem of businesses needing to efficiently handle customer queries and provide support round the clock. The AI-based solution involves implementing AI-powered chatbots and virtual assistants to handle customer queries and provide support 24/7.
Target industry
Who is most impacted
Customers seeking assistance and support from businesses
AI-Optimized Supply Chain
Brief description
The use case is addressing the problem of optimizing supply chain operations to reduce costs and improve efficiency. The AI-based solution involves implementing AI algorithms for demand forecasting, inventory optimization, and route optimization.
Target industry
Who is most impacted
Supply chain managers
Voice to Text Transcription
Brief description
Difficulty in accurately transcribing and understanding spoken language for various applications. The solution is to develop a speech recognition system using deep learning algorithms and neural networks.
Target industry
Who is most impacted
Users who prefer voice commands for tasks
AI-Powered Personalized Recommendations
Brief description
The use case addresses the problem of providing personalized product recommendations to users based on their browsing history and preferences. The AI-based solution involves an AI system that analyzes user behavior, purchase history, and preferences to recommend products. This is achieved using collaborative filtering and machine learning algorithms.
Target industry
Who is most impacted
Users of e-commerce platforms
Fraud Buster
Brief description
This use case addresses the problem of detecting and preventing fraudulent activities such as fake accounts, payment fraud, and account takeovers. The AI-based solution uses anomaly detection algorithms to identify suspicious patterns in user behavior and transactions. It flags potentially fraudulent activities for further investigation and mitigation.
Target industry
Who is most impacted
E-commerce companies
AI-Driven Inventory Optimization
Brief description
This use case addresses the problem of optimizing inventory levels and predicting demand to prevent stockouts and overstock situations in the e-commerce and supply chain industry. The AI-based solution involves analyzing historical sales data, seasonality, and external factors to forecast demand accurately. It also suggests optimal reorder points and quantities to maintain efficient inventory levels.
Target industry
Who is most impacted
Inventory managers, Supply chain managers
Autonomous Vehicle Navigation
Brief description
Developing autonomous vehicles for safer and efficient transportation. Implementing AI algorithms for autonomous driving and navigation.
Target industry
Who is most impacted
Transportation industry
Personalized Product Recommendation Engine
Brief description
The use case addresses the problem of providing personalized product recommendations to customers based on their preferences and behavior. The solution involves developing a recommendation engine using collaborative filtering or content-based filtering.
Target industry
Who is most impacted
Customers
AI-Personalized Marketing
Brief description
The use case addresses the problem of effectively targeting and engaging customers with personalized marketing messages at scale. The AI-based solution involves using AI algorithms to analyze customer data and behavior to create personalized marketing campaigns. The next steps involve implementing these AI-based personalized marketing campaigns, analyzing the results, and optimizing for better customer engagement.
Target industry
Who is most impacted
Marketing team
Predictive Analytics for Business Optimization
Brief description
The use case addresses the problem of leveraging historical data to make accurate predictions and optimize decision-making processes in businesses. The AI-based solution involves implementing predictive analytics models to forecast future trends and outcomes based on historical data patterns.
Target industry
Who is most impacted
Businesses looking to make data-driven decisions
AI Image and Video Data Analysis
Brief description
The use case addresses the problem of extracting valuable information from large volumes of image and video data manually which is time-consuming and prone to errors. The AI-based solution involves developing AI algorithms to analyze and extract insights from images and videos.
Target industry
Who is most impacted
Businesses using image and video data
Sentiment Analysis for Customer Insight
Brief description
The use case addresses the problem of understanding and analyzing customer sentiments to improve marketing strategies and customer service interactions. The AI-based solution involves developing AI algorithms to analyze and interpret customer sentiments from text data. The next steps include implementing sentiment analysis tools, analyzing customer feedback, and personalizing marketing strategies based on sentiment insights.
Target industry
Who is most impacted
Marketing and Customer Service teams
Telecom Churn Predictor
Brief description
Predicting customer churn in the telecom industry to identify customers likely to switch to a competitor using machine learning algorithms
Target industry
Who is most impacted
telecom companies and their customers
Legal Document Auto-Classification
Brief description
The use case addresses the problem of manual categorization and organization of legal documents in a legal firm. The AI-based solution involves the implementation of natural language processing (NLP) algorithms to automatically classify these documents based on their content, keywords, and context.
Target industry
Who is most impacted
legal professionals and support staff
Personalized E-commerce Recommendations
Brief description
The use case addresses the problem of enhancing personalized recommendations for an e-commerce platform to increase customer engagement and sales. The solution involves utilizing collaborative filtering algorithms and customer behavior analysis to generate personalized product recommendations based on past purchases, browsing history, and preferences.
Target industry
Who is most impacted
e-commerce platform, sellers, and customers
AI-based Content Customization for Family-friendly Viewing
Brief description
This use case addresses the problem of unsuitable or uncomfortable content appearing in movies and TV shows during family viewing. The AI-based solution would use advanced computer vision and natural language processing (NLP) techniques to automatically identify, analyze, and customize sensitive scenes in movies and TV shows. This solution directly addresses the discomfort of watching sensitive content with mixed-age or varied-sensitivity audiences by allowing users to customize and filter content in real time.
Development stage
Target industry
Who is most impacted
The most impacted group in this use case would be families with children. Specifically, parents and guardians are highly affected, as they are often responsible for ensuring that the content their children watch is appropriate for their age and sensitivities. Without the ability to customize or censor specific scenes in real-time, families may feel forced to either skip certain content altogether or face discomfort while watching together.
This tool would also significantly benefit parents who are concerned about what their children are exposed to, as well as streaming platforms that could attract more family-oriented subscribers by offering content customization features.
For content creators, the impact may be indirect, but they could see benefits in increased viewership from families who would otherwise avoid their shows or movies due to specific scenes.
AI-Powered Fraud Detection
Brief description
The use case addresses the problem of identifying and preventing credit card fraud. The AI-based solution uses machine learning algorithms to analyze transaction patterns, detect anomalies, and flag potentially fraudulent transactions in real-time. It can also incorporate biometric authentication and behavior analysis to enhance security measures.
Target industry
Who is most impacted
customers, financial institutions, and law enforcement agencies
AI-Powered Personalized Recommendations
Brief description
The use case addresses the problem of improving customer service in the e-commerce industry by providing personalized product recommendations. The AI-based solution utilizes collaborative filtering algorithms and natural language processing to analyze customer preferences, purchase history, and browsing behavior to generate personalized product recommendations.
Target industry
Who is most impacted
e-commerce businesses and customers
Vision-based Inventory Optimization
Brief description
Streamlining inventory management in retail to reduce stockouts and improve supply chain efficiency by implementing a computer vision system to track inventory levels, predict demand, automate reordering processes, and optimize inventory management.
Target industry
Who is most impacted
Retail industry stakeholders
Optimized Healthcare through Predictive Analytics
Brief description
Enhancing healthcare services by optimizing hospital operations and improving patient care through predictive analytics. Utilizing machine learning algorithms to analyze historical data, predict patient admissions, optimize staff allocation, and improve overall operational efficiency
Target industry
Who is most impacted
Patients, hospital staff, healthcare administrators
Kadai: Hyperlocal Delivery for Unorganized Retail
Brief description
This use case addresses the problem of India’s unorganized retail market, where local vendors lack the digital reach and infrastructure of major players. The proposed solution is Kadai, a hyperlocal delivery app for small, unorganized vendors in India, bringing their products to customers’ doorsteps.
Development stage
Target industry
Who is most impacted
Small vendors (vegetable shops, flower stalls); Customers seeking specific local products.; Urban and semi-urban consumers crave easy access to traditional markets without the hassle.
AI for Epilepsy Awareness and Treatment
Brief description
Epilepsy is a common neurological disorder in India, with an increasing number of cases each year. Despite its widespread prevalence, there is a significant gap in awareness, diagnosis, and treatment, particularly in rural and semi-rural areas. This use case aims to address these challenges by creating awareness campaigns tailored to specific demographics, improving access to treatment, and using AI to analyze large datasets of EEGs, MRI scans, and other diagnostic tests to detect epilepsy earlier and more accurately.
Development stage
Target industry
Who is most impacted
Epilepsy Patients
Elderly Shield: AI for Cybersecurity
Brief description
This use case addresses the problem of protecting elderly users from scams by detecting and preventing suspicious actions on their devices. The AI-based solution involves implementing AI to monitor and flag suspicious actions like APK downloads on devices. The next steps include implementing the AI monitoring system and educating users on cybersecurity best practices.
Target industry
Who is most impacted
Elderly users
AI-Powered Content Filtering for Child Safety
Brief description
The use case addresses the problem of protecting children from viewing inappropriate content in TV shows and movies. The solution is an AI-based content filtering system that detects and blurs inappropriate content.
Target industry
Who is most impacted
Children
Sensitive Content Detector
Brief description
The use case addresses the problem of unintentional sharing of sensitive content like children's photos on social media. The AI-based solution involves using AI algorithms to detect sensitive content and provide warnings before posting. The next steps involve implementing these AI algorithms.
Target industry
Who is most impacted
Parents and caregivers
Emotion Management and Communication Improvement
Brief description
This use case addresses the challenge of managing workplace emotions and improving communication by providing tone-modifying suggestions. The AI-based solution analyzes the tone and content of written communication in real-time using NLP and provides suggestions to improve clarity and effectiveness.
Target industry
Who is most impacted
employees, managers, HR professionals
AI Watchdog
Brief description
This use case addresses the problem of detecting unusual activities in apartment complexes or online interactions. The solution is an AI-based surveillance system that monitors and analyzes data for unusual activities. The system uses advanced algorithms to identify patterns and anomalies that may indicate suspicious behavior. Once detected, the system alerts the relevant authorities who can then take necessary actions.
Target industry
Who is most impacted
Residents of apartment complexes or online users
Legal Eagle: AI for Objective Legal Analysis
Brief description
Addressing the challenge lawyers face in preparing for cases or debating laws with moral objectivity by leveraging NLP algorithms. Utilizing NLP to analyze legal texts, case laws, and ethical principles to provide comprehensive insights and unbiased perspectives for lawyers.
Target industry
Who is most impacted
lawyers
AI for Legal Objectivity
Brief description
Address the challenge lawyers face in preparing for cases or debating laws with moral objectivity by analyzing legal texts, case laws, and ethical principles. The AI solutions utilize NLP and Machine Learning algorithms to analyze these texts, providing comprehensive insights and assisting in legal research and debate.
Target industry
Who is most impacted
lawyers
AI-based Location Audio Guide
Brief description
The use case addresses the problem of lack of engaging and informative audio guides for tourists visiting different locations. The AI-based solution is a location-based audio guide with curated content beyond Wikipedia.
Target industry
Who is most impacted
tourists, tour guides, travel companies
AI-Powered Inspirational Figures in Education
Brief description
This use case addresses the problem of lack of easily accessible and personalized educational heroes for students and educators. The solution is an AI-powered platform that analyzes educational topics and local contexts to recommend relevant inspirational figures.
Target industry
Who is most impacted
Students and educators
AI Consultation Assistant
Brief description
This use case addresses the problem of patients or caregivers struggling to ask relevant questions during medical consultations. The solution is a conversational AI assistant that guides patients or caregivers in formulating questions during these consultations.
Target industry
Who is most impacted
patients or caregivers
AI Energy Optimizer
Brief description
This use case is addressing the problem of optimizing energy requirements for GPU farms or solar power use. The AI-based solution involves the use of AI modeling and optimization to address this issue. The development stage is not specified. The domain/track is Climate. Resources needed are not specified.
Target industry
Who is most impacted
GPU farms or solar power users
AI-Optimized Energy Management
Brief description
The use case addresses the problem of optimizing energy usage for GPU farms or solar power systems. The AI-based solution involves modeling and optimization of energy requirements for these systems.
Target industry
Who is most impacted
GPU farms or solar power users
Urban Noise Abatement
Brief description
This use case addresses the problem of noise pollution in urban centres. The proposed AI-based solution involves three stages: 1) Collating and meaningfully representing noise-related data, 2) Driving behaviour change, particularly among vehicle users, to reduce avoidable honking, and 3) Presenting data to corporations, municipalities, or state governments to inform noise abatement policies or actions. The next steps involve building a version 1 of the product and disseminating it among the first 500 users, such as Uber, Ola, and fleet companies.
Development stage
Target industry
Who is most impacted
Children, lower income population and senior citizens
RetinaScanAI
Brief description
Develop an AI-based system to detect early signs of diabetic retinopathy in patients. Utilizing computer vision technology to analyze retinal images and identify signs of diabetic retinopathy.
Target industry
Who is most impacted
healthcare providers and diabetic patients
AI Chatbot for Customer Service
Brief description
The use case addresses the problem of enhancing customer service efficiency by implementing a chatbot for handling common queries and providing instant support. The AI-based solution involves developing a chatbot powered by natural language processing (NLP) technology. This chatbot will be able to understand and respond to customer queries in a natural, conversational manner, thereby improving the speed and efficiency of customer service.
Target industry
Who is most impacted
customer service representatives and customers
AI-Driven Waste Sorting
Brief description
The use case addresses the problem of manual waste sorting and segregation. The idea is to automate this process to efficiently weed out what can't be repurposed and capture high value waste. The proposed solution involves the use of computer vision and machine learning where AI can detect and sort out waste.
Development stage
Target industry
GreenFinder
Brief description
This use case addresses the problem of consumers struggling to find greener products for their daily use, leading to increased environmental impact. The AI solution uses natural language processing (NLP) to analyze product descriptions and labels to identify environmentally friendly options. It provides consumers with recommendations for greener products based on their preferences and needs.
Target industry
Who is most impacted
Consumers
AI-Powered Energy Efficiency
Brief description
This use case addresses the problem of energy wastage and high electricity bills faced by consumers. The AI-based solution utilizes smart meters and machine learning algorithms to track electricity consumption patterns in households and provides personalized recommendations to consumers on how to reduce electricity usage and optimize energy efficiency.
Target industry
Who is most impacted
Consumers
AI-Assisted Repair Shop Finder
Brief description
Consumers struggle to find reliable repair shops for their electronic devices and appliances, leading to unnecessary replacements and e-waste. The AI solution uses computer vision to assess the condition of electronic devices and recommend repair shops based on their expertise and customer reviews. It also provides estimates for repair costs and turnaround times.
Target industry
Who is most impacted
Consumers struggling to find reliable repair shops for electronic devices and appliances
AI for Effective Waste Segregation
Brief description
This use case addresses the problem of improper waste segregation by consumers, which leads to contamination and inefficient recycling processes. The AI-based solution uses image recognition technology to help consumers identify and sort different types of waste materials. It provides real-time feedback and guidance on how to segregate waste effectively, thereby promoting better recycling and waste management practices.
Target industry
Who is most impacted
Consumers
AI for Clean Cities
Brief description
This use case addresses the problem of waste dumping in black spots where the municipality fails to pick up the waste, leading to environmental and health hazards. The AI-based solution uses computer vision technology to identify these black spots in the city where waste is illegally dumped and alerts the municipality for prompt waste collection.
Target industry
Who is most impacted
Residents, local authorities, waste management agencies
AI for Urban Waste Management
Brief description
The use case addresses the problem of illegal waste dumping in urban areas, particularly in black spots where municipal waste collection is inadequate. This leads to pollution, health risks, and degradation of the urban environment. The AI solution utilizes machine learning algorithms to analyze patterns of waste accumulation in different areas of the city. By processing data from sensors and IoT devices, the AI system can predict potential black spots and prioritize them for waste collection activities.
Target industry
Who is most impacted
Residents, local authorities, waste management agencies
AI-enabled gynecologist consultations for women in underresourced geographies
Brief description
PinkyPromise is an AI-driven clinical decision support tool for women’s health in India. It has been used by ~150,000 women and has completed 10,600+ AI-enabled gynecologist consultations since its launch in March 2024. The app is used across India, with the highest volumes coming from areas around New Delhi, Punjab, Haryana, and Telangana. 54% of their customers have never consulted a gynecologist before consulting one on Pinky Promise and >70% of their customers are from tier 2, tier 3 and smaller areas of India.
Development stage
Target industry
Who is most impacted
Women
AI-Powered Scribe for Clinical Trials
Brief description
This use case addresses the problem of time-consuming patient information collection and form filling for clinical trials. The solution is an AI-powered scribe that allows healthcare providers to document patient interactions within seconds using voice commands. It also streamlines clinical trial form completion, saving time and reducing costs. The AI’s performance is being validated through a clinical trial at Tata Memorial Hospital, involving 300+ patient encounters.
Development stage
Target industry
Who is most impacted
Patients
Khanmigo: AI-powered Teaching Assistant
Brief description
Khan Academy has introduced "Khanmigo," an AI-powered teaching assistant and student tutor. Available in both English and Hindi, Khanmigo aims to enhance teacher productivity and student learning by providing interactive and personalized educational support. Open source solution similar to this for supporting teachers
Development stage
Target industry
AI-powered Immersive Learning
Brief description
AI-powered immersive learning for school students. Practically combines AI with immersive learning to make education engaging and effective for students in classes 6 to 12. The platform leverages advanced technologies like AR and VR, along with AI-powered tools, to cater to diverse learning needs. AI-driven AR/VR modules bring complex concepts to life, providing an engaging and interactive learning experience. AI-powered virtual tutors assist students in real-time doubt resolution, ensuring no questions go unanswered. Content adaptation uses AI to tailor study materials to individual students' learning speeds and preferences, enhancing retention and understanding. Practically has reached over 350,000 students and partnered with 200+ schools across India, demonstrating its impact on improving learning outcomes and student engagement.
Development stage
Target industry
Who is most impacted
Students
Dynamic Traffic Signal Coordination
Brief description
Traffic signal coordination based on dynamic traffic pattern is a key issue in Indian cities, impacting the efficiency of travel for all stakeholders involved. The solution involves using real-time traffic data and machine learning algorithms to predict traffic patterns and optimize signal coordination.
Target industry
Who is most impacted
all stakeholders involved in travel
Dynamic Traffic Signal Coordination
Brief description
Traffic signal coordination based on dynamic traffic pattern is a key issue in Indian cities, impacting the efficiency of travel for all stakeholders involved. The AI-based solution involves using real-time traffic data and machine learning algorithms to predict traffic patterns and optimize signal coordination accordingly. By analyzing historical data and current traffic conditions, the system can dynamically adjust signal timings to reduce congestion and improve traffic flow.
Target industry
Who is most impacted
all stakeholders involved in travel
Dynamic Traffic Signal Coordination
Brief description
Traffic signal coordination based on dynamic traffic pattern is a key issue in Indian cities, impacting the efficiency of travel for all stakeholders involved. The solution involves using real-time traffic data and machine learning algorithms to predict traffic patterns and optimize signal coordination.
Target industry
Who is most impacted
all stakeholders involved in travel
AI-Powered Renewable Energy Skilling
Brief description
This use case addresses the skilling gap to meet India’s demand for 2 million professional renewable energy workers by 2030 for achieving net zero emissions. The AI-based solution involves assessing skill levels, adapting training paths, and providing interactive simulations using AR/VR for hands-on learning in solar panel installation, wind turbine maintenance, and energy system diagnostics. AI-powered chatbots and virtual assistants deliver real-time guidance, while data analytics track progress and match trainees with job opportunities.
Development stage
Target industry
Optimal Salary Range Determination
Brief description
This use case addresses the challenge faced by employers in determining an optimal salary range for employees that minimizes tax liabilities for the employer. The AI solution will analyze the company's tax filing data to recommend a beneficial salary range for employees that minimizes tax liabilities for the employer.
Target industry
Who is most impacted
Employers
AI-based Tax Optimizer
Brief description
To optimize the past 5 Income Tax Returns (ITRs) of an individual by identifying areas for tax optimization based on financial history. The AI solution will analyze past 5 ITRs to identify optimization opportunities and provide personalized recommendations.
Target industry
Who is most impacted
Individuals seeking tax optimization for past 5 ITRs
AI for Sustainable Water Management
Brief description
The use case aims to address the challenge of replacing potable water with non-potable water in household activities. It involves creating a database to track daily water usage and waste water quantity at home, while evaluating the quantitative and qualitative aspects of water usage. The AI solution will assist users in collecting and analyzing data related to their water consumption and waste water generation. It will use machine learning algorithms to identify patterns, optimize water usage, and provide recommendations for sustainable practices.
Target industry
Who is most impacted
Households
AI for Water Conservation
Brief description
This use case focuses on optimizing water usage at home by leveraging AI to analyze the extent to which non-potable water can replace potable water in various household activities. It involves creating a personalized water usage profile for each user. The AI solution will use predictive modeling and data mining techniques to understand user behavior, identify opportunities for water conservation, and suggest alternative water sources for non-potable uses.
Target industry
Who is most impacted
Users looking to optimize water usage at home
AI for Meetups
Brief description
Better Connections at Meetups. If AI can connect liken minded folks
Development stage
Target industry
Who is most impacted
People attending startup meetups
AI-Powered Multilingual Communication System
Brief description
This use case addresses the problem of language barriers in communication across various sectors in India such as education, workplaces, healthcare, travel, and public services. The proposed solution is an AI-powered multilingual communication system that enables real-time chat and speech translation between Indian languages. The system leverages advanced AI models for fast, accurate, and context-aware translations for both text and speech.
Development stage
Target industry
AI-Driven Pacemaker
Brief description
This use case addresses the limitations of traditional pacemakers. We are integrating AI, embedded systems, and real-time signal processing into a next-generation AI-driven pacemaker. The technology used includes Deep Learning (TensorFlow/Keras), Convolutional Neural Networks (CNN), and Long Short-Term Memory (LSTM) to detect and classify cardiac arrhythmias in real-time. The AI continuously analyzes ECG signals, detecting abnormalities early.
Development stage
Target industry
Who is most impacted
Heart attack Patients
Personalized Hobby Learning
Brief description
Helping individuals learn new hobbies and skills to enhance personal growth and well-being through personalized recommendations for aspirational hobbies based on user preferences, learning style, and goals using machine learning algorithms
Target industry
Who is most impacted
learners
AI Hobby Coach
Brief description
Addressing the challenge of finding time and motivation to pursue hobbies and interests due to busy schedules and lack of guidance. The AI-based solution offers personalized schedules and reminders for hobby practice, as well as motivational messages and progress tracking. It uses natural language processing to understand user preferences and provide tailored guidance.
Target industry
Who is most impacted
individuals looking to engage in meaningful activities
HobbyHub: AI-Powered Mentorship
Brief description
This use case addresses the problem of limited access to resources and expertise in niche hobbies and interests. The AI-based solution connects users with expert mentors and online communities in their chosen hobby or interest. It utilizes computer vision to facilitate virtual workshops and demonstrations for hands-on learning.
Target industry
Who is most impacted
enthusiasts seeking to learn specialized skills
SafeWatch: Real-time Content Moderation for Streaming Services
Brief description
SafeWatch is an AI-based solution designed to provide granular, real-time content moderation for streaming services. It uses multimodal analysis, an interactive response mechanism, and an adaptive filtering engine to detect and filter explicit or unhealthy scenes without disrupting the narrative. The system also includes a parental dashboard for monitoring and adjusting the system based on family's viewing habits and values.
Development stage
Target industry
Who is most impacted
Families are most impacted by the issues SafeWatch addresses. Specifically:
Children and Teens: They are the primary audience at risk, as exposure to explicit or unhealthy scenes can influence their behavior and development.
Parents and Guardians: They face the challenge of safeguarding their children's viewing experiences without disrupting the narrative flow of their favorite shows or movies.
AI-Optimized Mid-Mile Logistics
Brief description
The inefficiencies in mid-mile logistics in India lead to delays, high costs, and poor visibility for stakeholders involved in the movement of goods between warehouses, hubs, and distribution centers. The solution is utilizing real-time tracking technology and AI algorithms to optimize mid-mile logistics operations.
Target industry
Who is most impacted
Stakeholders involved in mid-mile logistics operations in India
AI-Optimized Last-Mile Logistics
Brief description
Last-mile logistics in India suffer from fragmentation, lack of real-time tracking, and high fuel consumption, leading to inefficiencies and high costs in the final delivery to customers. The AI-based solution for last-mile logistics integrates AI-powered route optimization algorithms and real-time tracking systems to streamline the delivery process. By leveraging AI technology, the solution aims to reduce fragmentation, improve tracking accuracy, and minimize fuel consumption in last-mile operations.
Target industry
Who is most impacted
Stakeholders involved in last-mile logistics in India
Financial Literacy for Kids
Brief description
Addressing the lack of financial literacy among children to prepare them for the adult world. A personalized financial literacy curriculum using NLP for analyzing learning styles and preferences, interactive modules, simulations, and virtual financial advisors.
Target industry
Who is most impacted
children
Financial Literacy for Kids
Brief description
This use case addresses the problem of lack of financial literacy among children. The solution is a personalized financial literacy curriculum that uses NLP to analyze learning styles and preferences. It includes interactive modules, simulations, real-world scenarios, and virtual financial advisors.
Target industry
Who is most impacted
children, parents, educators
Personalized Learning Pathways
Brief description
Developing personalized learning paths for students to improve academic performance. Utilizing machine learning algorithms to analyze students' learning patterns, preferences, and performance data to generate personalized learning paths
Target industry
Who is most impacted
students, teachers, parents
Predictive Maintenance Master
Brief description
The use case addresses the problem of unpredicted equipment failures in manufacturing plants which lead to unplanned downtime and increased maintenance costs. The AI-based solution uses predictive maintenance algorithms to analyze equipment sensor data and detect patterns that indicate potential failures. This allows for optimized maintenance schedules, preventing downtime and reducing costs.
Target industry
Who is most impacted
plant managers, maintenance technicians, and production teams
AI Assistant for Digital Tasks
Brief description
This use case addresses the problem of elderly or technologically challenged individuals in India struggling with basic digital tasks like paying bills, booking tickets, or accessing government services. The proposed AI-based solution is a system that can guide or complete digital tasks for users in real-time, eliminating the need for external assistance. The solution will provide step-by-step instructions, automate processes, and offer real-time support to ensure successful completion of tasks.
Target industry
Who is most impacted
Elderly or technologically challenged individuals in India
AI Assistant for Digital Tasks
Brief description
This use case addresses the problem of elderly or technologically challenged individuals in India struggling with basic digital tasks like paying bills, booking tickets, or accessing government services. The AI-based solution is designed to guide or complete digital tasks for users in real-time, eliminating the need for external assistance. The solution will provide step-by-step instructions, automate processes, and offer real-time support to ensure successful completion of tasks.
Target industry
Who is most impacted
elderly or technologically challenged individuals in India
AI-Powered Digital Assistant for Elderly
Brief description
This use case addresses the problem of digital illiteracy among the elderly and those not comfortable with technology in India. They often struggle with basic digital tasks like paying bills, booking tickets, or accessing government services and have to rely on younger family members for help. The proposed solution is an AI-powered WhatsApp assistant that can guide or even complete digital tasks for users in real-time. This will remove dependency, save time, and bring true digital inclusion to millions.
Development stage
Target industry
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Brief description
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Development stage
Target industry
AI Sleep Assistant
Brief description
The use case addresses the problem of lack of sleep in individuals, particularly the elderly. The proposed solution is an AI Chatbot that gathers information about the individual's physical and mental state, food habits, daily routines, and stress symptoms. Based on this data, the AI Chatbot can suggest various methods to improve sleep quality, such as singing a song, telling a story in a soothing voice, or providing reassurance.
Development stage
Target industry
Who is most impacted
People who are deprived of sleep
STEM Education in Minority Languages
Brief description
This use case addresses the problem of providing STEM education in minority languages to students who have limited access to quality education in their native language. The solution involves developing interactive STEM learning modules in minority languages using NLP and Computer Vision technologies.
Target industry
Who is most impacted
students, educators, policymakers
Language Empowerment through AI
Brief description
The use case addresses the problem of upskilling individuals in minority languages for career advancement and economic empowerment. The solution is a virtual language learning platform leveraging AI for personalized language training, professional skill development, and job matching services.
Target industry
Who is most impacted
Individuals in minority languages seeking career advancement and economic empowerment
Multilingual Spell Check for Indian Languages
Brief description
The use case addresses the problem of limited availability of spell check tools for diverse Indian languages. This lack of linguistic support hinders the user experience for individuals across different regions in India. The proposed solution is to build a multilingual spell check platform that supports a wide range of Indian languages. This platform will leverage deep learning models to provide accurate and efficient spell checking capabilities.
Target industry
Who is most impacted
social media users, content creators, language enthusiasts
Spell Check for Indian Languages
Brief description
The problem is the prevalence of non-standard spellings and typos in Indian languages on social media platforms, leading to miscommunication, misunderstandings, and a lack of standardization in language usage. The solution is to develop a spell check tool specifically designed for Indian languages using NLP techniques to analyze and correct grammatical mistakes, standardize spellings, and suggest appropriate language usage.
Target industry
Who is most impacted
social media users, content creators, language enthusiasts
Spell Check for Indian Languages
Brief description
The problem is the lack of reliable spell check tools for Indian languages, leading to errors in written communication and hindering the growth of native language usage on digital platforms. The solution is to develop a spell check tool specifically designed for Indian languages using NLP techniques to analyze and correct grammatical mistakes, standardize spellings, and suggest appropriate language usage.
Target industry
Who is most impacted
social media users, content creators, language enthusiasts
AI-Driven Data Feeding
Brief description
Data feeding is a time-consuming task that requires manual effort to input data accurately and efficiently. This process is prone to errors and can be tedious for employees. The AI-based solution automates data feeding using NLP to extract information from various sources and input it into the system.
Target industry
Who is most impacted
Employees responsible for data feeding
Vision-Based Data Feeding
Brief description
Data feeding in financial institutions involves handling large volumes of data from different sources, leading to potential errors and delays in processing. The AI-based solution uses Computer Vision to address this problem.
Target industry
Who is most impacted
Financial institutions
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Brief description
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Development stage
Target industry
Research
Brief description
test
Development stage
Target industry
AI-Powered Parenting Assistant
Brief description
This use case addresses the problem of information overload and lack of personalized guidance for modern parents. The proposed AI-based solution aims to provide personalized decision support for parents, tailored to their unique context (e.g., child’s age, temperament, health history, or parental values). The solution seeks to replace the current fragmented and generic sources of information with a consistent, trusted system to guide parents' journey.
Development stage
Target industry
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