Discover innovative problem statements and build solutions for India's future
Search through curated problem statements from various ministries and domains. Use our intelligent search to find challenges that match your skills and interests.
135 results found
This problem focuses on developing a smart health surveillance system to detect and prevent water-borne disease outbreaks in rural Northeast India. The system will collect health data, use AI/ML for outbreak prediction, monitor water quality, and provide alerts to health officials and communities.
This problem focuses on developing a Smart Tourist Safety Monitoring & Incident Response System using AI, Geo-Fencing, and Blockchain. The system aims to provide secure digital IDs, real-time monitoring, and rapid response capabilities for tourists, enhancing their safety and security.
The problem focuses on developing low-cost, sustainable road infrastructure in the Northeastern Region of India to improve transportation of agricultural produce from remote farms. The solution involves using bamboo and recycled plastic to create prefabricated modular road panels that are durable and erosion-resistant.
The Indian government seeks an AI-driven solution to accurately identify cattle and buffalo breeds using images. This aims to improve data accuracy in the Bharat Pashudhan App, addressing the issue of breed misclassification by field workers. The solution should integrate with the app and provide breed suggestions.
The problem focuses on automating Animal Type Classification (ATC) for cattle and buffaloes using image analysis to improve the accuracy and efficiency of the process. The goal is to develop an AI-driven system that extracts body structure parameters from images and generates standardized scores, integrating with the existing Bharat Pashudhan App (BPA). This solution aims to enhance data quality and support the Rashtriya Gokul Mission (RGM) by the Government of India.
The problem is to develop a digital farm management portal to help pig and poultry farmers implement biosecurity measures. The portal should provide tools for risk assessment, training, compliance tracking, and real-time alerts, with a focus on accessibility and data analysis.
The problem involves developing a digital farm management portal to monitor antimicrobial usage (AMU) and ensure compliance with Maximum Residue Limits (MRL) in livestock. The portal aims to track drug usage, integrate with veterinary records, provide alerts, offer data visualization, and utilize secure technologies like blockchain.
This problem focuses on the lack of disaster preparedness education in Indian schools and colleges. The goal is to develop a digital platform to provide interactive modules, virtual drills, and real-time communication tools to improve safety during disasters.
The problem addresses the lack of engaging environmental education in Indian schools and colleges, which relies heavily on theoretical content. The goal is to develop a gamified platform to motivate students to adopt eco-friendly practices and understand environmental issues through interactive lessons and real-world tasks.
The problem addresses the lack of personalized, real-time crop advisory services for small and marginal farmers in India, leading to poor yields and environmental issues. The goal is to develop a multilingual AI-based mobile app providing location-specific advice, soil health recommendations, weather alerts, pest detection, and market price tracking.
This problem addresses the inefficiencies of manual attendance systems in educational institutions and the lack of structured activities for students during free periods. The goal is to develop an app that automates attendance tracking and provides personalized academic task suggestions, improving student productivity and aligning with their goals.
This problem focuses on automating attendance in rural schools in India, which currently rely on manual systems. The goal is to reduce errors, save time for teachers, and improve resource allocation by implementing a low-cost, user-friendly software or mobile application.
This problem focuses on the lack of real-time public transport tracking in small cities, leading to commuter inconvenience and reduced public transport usage. The goal is to develop a mobile or web platform providing real-time bus tracking and estimated arrival times, optimized for low-bandwidth environments.
Urban local bodies face challenges in waste segregation, leading to inefficiencies and environmental issues. The problem requires a system to monitor segregation and provide feedback to improve compliance and waste management.
The problem addresses the overuse of pesticides in agriculture, leading to environmental and health issues. The goal is to develop an intelligent system that detects plant infections and regulates pesticide application accordingly, promoting sustainable farming practices.
The problem involves automating student attendance tracking in colleges, which is currently done manually, leading to inefficiencies and errors. The goal is to develop a system that automates attendance, provides analytics for better academic planning, and works seamlessly in both in-person and online settings.
The problem is the lack of a centralized system for managing alumni data in educational institutions, leading to poor engagement and missed opportunities. This results in scattered data, limited communication, and difficulty in leveraging alumni networks for mentorship, fundraising, and other collaborations.
Rural areas near Nabha face healthcare challenges due to staff shortages, long travel distances, and poor infrastructure. The problem leads to worsened health outcomes and financial strain for residents. The goal is to improve healthcare delivery through telemedicine and digital health solutions.
The problem focuses on the lack of digital resources and infrastructure in rural schools in Nabha, leading to a digital literacy gap. This hinders students' access to modern educational content and essential digital skills, impacting their academic growth and future employability.
Indian Railways seeks to develop an indigenous, contactless Integrated Track Monitoring System (ITMS) to replace costly and limited foreign systems. The ITMS must comply with specific standards, measure track geometry, rail profiles, and component conditions, and provide real-time data processing and analysis. The project aims to promote self-reliance, reduce costs, and improve railway infrastructure monitoring.
The problem involves developing an AI-based system for laser-based QR code marking on track fittings (clips, pads, liners, and sleepers) for Indian Railways. The system aims to enable mobile scanning, integrate with existing portals, and provide AI-driven reports for quality monitoring and inventory management.
The problem focuses on optimizing train traffic control in Indian Railways to maximize section throughput and minimize travel time. It involves developing an AI-powered decision-support system to assist controllers in making real-time decisions for train precedence and crossings, considering various constraints and priorities.
The project aims to develop a software solution for Panchakarma patient management and therapy scheduling. The software will automate scheduling, provide notifications, and offer real-time therapy tracking and feedback mechanisms to improve efficiency and patient care.
The problem is to develop cloud-based software for Ayurvedic dietitians to create and manage patient-specific diet charts. The software should integrate Ayurvedic principles with modern nutritional metrics, offering features like a food database, automated diet chart generation, and patient management.
The problem involves developing an AI-enabled device, incorporating an electronic tongue and analytical techniques, for objective quality assessment of herbal samples. The device aims to classify herbs based on taste profiles and phytochemical composition, addressing issues of adulteration and standardization.
Develop an API to integrate NAMASTE and ICD-11 (TM2) into existing EMR systems in India, complying with EHR standards. The API should enable clinicians to record traditional medicine diagnoses and map them to ICD-11 codes for interoperability and analytics. The solution should include a terminology micro-service with auto-complete, translation, and FHIR bundle upload capabilities.
Develop a blockchain-based system for tracking Ayurvedic herbs from collection to the consumer, using geo-tagging and smart contracts to ensure quality, authenticity, and sustainability. The system aims to improve transparency, build consumer trust, and support ethical sourcing practices.
The problem focuses on creating an optimized timetable scheduler for higher education institutions to address inefficiencies in class scheduling. The solution should consider various parameters like classroom availability, faculty, and student preferences to maximize resource utilization and minimize conflicts. The expected solution is a web-based platform for authorized personnel to generate and manage timetables.
The problem is to create a digital platform to verify the authenticity of academic degrees and certificates in Jharkhand, combating the rise of fake credentials. The platform should use technologies like OCR, AI, and blockchain to cross-verify documents against institutional databases, ensuring security and scalability.
This project aims to develop an AI-driven mobile application that provides farmers with personalized crop recommendations. The system will integrate real-time data on soil properties, weather forecasts, market trends, and past crop rotation to suggest the most suitable crops, forecast yields, and promote sustainable agriculture.
This project aims to create a mobile and web-based system for citizens to report civic issues to the local government. The system will allow users to submit reports with photos, location data, and descriptions, while also providing a dashboard for government staff to manage and resolve these issues.
The Jharkhand government aims to develop a smart digital platform to boost eco and cultural tourism. The platform will address issues like lack of information, limited digital presence for local communities, and unorganized services by providing features such as AI-powered itinerary planning, blockchain-enabled transactions, and an integrated marketplace.
The problem focuses on developing an AI-based system to match PM Internship Scheme applicants with suitable opportunities. The system should consider skills, preferences, and affirmative action, aiming to improve selection efficiency. The expected solution is a functional prototype with an AI-based matchmaking engine and a front-end demonstration.
The problem is to develop an AI-based internship recommendation engine for the PM Internship Scheme to help candidates, especially those with limited digital literacy, find relevant internships. The system should provide 3-5 personalized suggestions based on candidate profiles and preferences.
The Ministry of Corporate Affairs needs an AI model to analyze comments on draft legislation submitted through an eConsultation module. The model should perform sentiment analysis, generate summaries, and create word clouds to help users efficiently understand the feedback.
The project aims to develop a low-cost, efficient, and portable sensor to detect microplastics in water sources. The sensor will use optical detection techniques and machine learning algorithms for real-time analysis. The solution should be field-deployable and provide data for pollution control and mitigation.
The project aims to develop a low-cost, camera-based system to automatically map beach sand grain size distribution. This system will use image processing and a GNSS/GPS receiver to classify beach types and monitor changes in sediment over time.
The problem involves creating a blockchain-based system for monitoring, reporting, and verifying blue carbon ecosystem restoration efforts in India. The system aims to ensure transparency and accuracy in carbon credit generation by utilizing blockchain technology and smart contracts.
The project aims to develop a platform for crowdsourced ocean hazard reporting and social media analytics. This platform will allow citizens to report observations, visualize data, and integrate social media feeds to understand hazard events.
The project aims to develop an AI-powered conversational interface, FloatChat, for exploring and visualizing oceanographic data from ARGO floats. This system will ingest NetCDF data, convert it into structured formats, and use a RAG pipeline with LLMs to translate natural language queries into database queries and generate visualizations.
CMLRE seeks an AI-enabled platform to integrate diverse marine datasets for ecosystem assessment and fisheries management. The platform will support data ingestion, analysis, and visualization, enabling data-driven decisions for conservation and sustainable resource utilization. The goal is to create a national marine data backbone.
The project aims to develop an AI-driven pipeline to analyze eDNA data from deep-sea samples to identify eukaryotic taxa and assess biodiversity. The current methods rely on databases that lack comprehensive sequences for deep-sea organisms, leading to misclassifications and underestimation of biodiversity. The proposed solution will minimize reliance on reference databases and reduce computational time.
The problem involves developing an embedded AI system for identifying and counting microscopic marine organisms from microscopy images. This system aims to automate the labor-intensive process of manual analysis, improving efficiency and accuracy in marine biodiversity assessments. The solution should handle challenges like overlapping organisms and illumination inconsistencies.
Develop an AI-powered platform to predict crop yields and provide actionable recommendations for farmers. The platform will use historical data, weather patterns, and soil metrics to optimize irrigation, fertilization, and pest control. The goal is to increase productivity for small-scale farmers through data-driven insights.
Develop a blockchain-based system to track agricultural produce from farm to consumer, ensuring transparency in pricing, quality, and origin. The platform should allow stakeholders to verify transactions and reduce exploitation in the supply chain.
Develop an IoT-enabled system using sensors and machine learning to automatically classify household waste. The system will integrate with municipal waste management for efficient collection and recycling. The expected outcome is a prototype device with high accuracy and a mobile app for monitoring and incentives.
Develop a drone-based system for delivering medical supplies and communication devices to remote areas during natural disasters. The drone will use AI for navigation and obstacle avoidance, and a mobile app will be developed for coordination.
Develop a gamified digital platform (mobile app or web) to improve STEM learning for students in rural schools (grades 6-12). The platform should feature interactive games, multilingual content, and offline access to address limited internet connectivity.
Develop a multilingual AI chatbot to educate rural and semi-urban populations about preventive healthcare, disease symptoms, and vaccination schedules. The chatbot will integrate with government health databases and provide real-time alerts for outbreaks.
Develop an AI-powered traffic management system to optimize signal timings and reduce urban congestion. The system will use real-time data from cameras and IoT sensors to predict and mitigate traffic bottlenecks, aiming to reduce commute times.
Develop an IoT-based monitoring system for solar or wind microgrids in rural areas. The system will provide real-time data on energy generation, storage, and consumption, alerting users to inefficiencies. The expected outcome is a hardware-software prototype improving microgrid efficiency by 15% with a mobile app for community operators.
Develop an augmented reality (AR) platform to digitize and preserve Indian cultural heritage sites, offering virtual tours with historical narratives. The platform should be accessible to users in rural areas with low-bandwidth access.
The problem focuses on improving onion storage technology to extend shelf life and reduce losses, addressing seasonal price volatility. The goal is to develop cost-effective storage solutions that manage temperature and humidity, potentially incorporating technological advancements.
The problem involves automating high-current short-circuit tests for Miniature Circuit Breakers (MCBs) to comply with IEC 60898-1:2015. Existing manual methods are inaccurate, time-consuming, and pose safety risks. The proposed solution is an automated machine with precise control and data acquisition for accurate and safe testing.
The project aims to develop an automated machine for preparing cable specimens for testing according to Indian standards. This machine will replace manual processes, reducing errors and improving the consistency of test results for cable safety and quality.
The problem focuses on finding a non-destructive method to test the purity of gold jewelry, replacing the current destructive fire assay method. The goal is to develop a method that is accurate, handles heterogeneous compositions, eliminates harmful emissions, and is suitable for regulatory and commercial use.
The problem involves developing an AI-powered automated compliance checker for e-commerce platforms to ensure adherence to Legal Metrology regulations. The system should extract text from product images, validate information against rules, and flag non-compliance issues. The solution should provide a dashboard for regulators to monitor violations and track compliance trends.
The problem focuses on developing a system to detect and prevent tampering in weighing and measuring instruments. The system should identify both physical and digital tampering attempts in real-time and alert relevant authorities. The solution may involve AI/ML, secure logging, and remote verification.
The problem focuses on students' lack of awareness regarding the difference between Aadhaar-linked and DBT-enabled bank accounts, leading to scholarship disbursement delays. The goal is to increase student awareness through various public awareness programs.
India faces a significant waste management challenge, with a large portion of waste untreated and posing environmental risks. The problem proposes solutions like mandatory citizen training, waste worker training, community participation, and digital monitoring systems to improve waste management.
The project aims to create a digital platform, Monastery360, to showcase the monasteries of Sikkim for tourism and cultural preservation. The platform will offer virtual tours, digital archives, interactive maps, and integration with local services. This initiative seeks to boost tourism, preserve cultural assets, and empower local communities.
The project aims to implement a smart irrigation system in Jorethang, South Sikkim, to address water scarcity and improve crop yields. The system will use sensors, a crop database, automated controls, and rainwater harvesting to provide efficient and sustainable irrigation. A mobile/web dashboard will allow farmers to monitor and control the system remotely.
The Kerala State Electricity Board Limited (KSEBL) needs a cost-effective solution to detect broken low-voltage AC distribution overhead conductors to prevent electrocution. The solution should isolate the fault and alert the section office. The problem stems from high earth resistance and low fault current, which prevents upstream fuses from detecting breaks.
The Kerala State Electricity Board Limited (KSEBL) is facing challenges with unbalanced loading and uneven voltage profiles in its distribution feeders due to the high penetration of rooftop solar PV systems. The problem requires a solution to dynamically reconfigure the network based on renewable energy injection and local demand scenarios.
The project involves developing a web/mobile application to assess the feasibility of rooftop rainwater harvesting and artificial recharge. Users will input details to receive personalized outputs, including feasibility checks, structure suggestions, and cost estimations. The application aims to promote groundwater conservation and sustainable water management.
The project aims to develop an AI-driven ChatBOT for the INGRES web application, which provides groundwater resource data. The ChatBOT will enable users to easily query data, access historical assessments, and obtain insights, improving accessibility and user engagement.
The problem involves developing an automated application to compute Heavy Metal Pollution Indices (HMPI) in groundwater. This tool aims to streamline calculations, reduce errors, and provide reliable outputs for stakeholders by integrating groundwater heavy metal concentration datasets with geo-coordinates.
This problem focuses on developing a mobile application to evaluate groundwater resources in real-time using data from Digital Water Level Recorders (DWLR) across India. The app aims to analyze water level fluctuations, estimate recharge, and provide real-time groundwater availability information to stakeholders.
The problem is to develop an AI-powered software platform for Life Cycle Assessments (LCAs) in the metals industry, focusing on circularity. The platform should allow users to input data, use AI/ML to predict environmental and circularity indicators, visualize circular flow opportunities, and generate actionable reports.
The problem is to design and prototype a secure, cross-platform data wiping application for electronic devices to address the e-waste crisis in India. The application should securely erase data, generate tamper-proof wipe certificates, and be user-friendly, promoting safe disposal and reuse of devices.
Develop an AI-based system to predict rockfalls in open-pit mines using multi-source data like DEMs, drone imagery, and geotechnical sensor data. The system should include a user-friendly dashboard with real-time risk maps, probability-based forecasts, and alert mechanisms.
The problem involves implementing a solar-powered dewatering system at a copper mining site to reduce operational costs, enhance reliability, and promote sustainability. The solution will utilize an OPEX model with a third-party vendor for installation, operation, and maintenance, incorporating hybrid backup for uninterrupted pumping.
The Sports Authority of India (SAI) needs a mobile-based platform to assess sports talent across India, especially in remote areas. The platform should use AI/ML to analyze videos of athletes performing fitness tests, providing instant feedback and securely submitting data.
Develop an AI-powered personal farming assistant for Kerala farmers to provide personalized agricultural advice. The assistant will use a conversational interface in Malayalam, track farmer activities, and offer proactive guidance based on local context.
The problem is to design a gamified digital platform to encourage sustainable farming practices among farmers. The platform should use interactive challenges, rewards, and community participation to educate and motivate farmers to adopt eco-friendly methods.
The project aims to develop an AI-powered advisory system for farmers in Kerala, enabling them to ask questions in Malayalam and receive instant, context-aware answers. The system will utilize natural language processing, image recognition, and a knowledge engine to provide tailored advice, incorporating location, crop, and season data.
The problem involves developing hardware to detect and prevent unauthorized use of electric fences. This aims to enhance security and potentially reduce associated risks.
The problem focuses on developing software to detect and shut down low-tension (LT) lines when they break, as an alternative to circuit breakers. The Kerala State Electricity Board Limited (KSEBL) seeks a software solution for disaster management.
Kochi Metro Rail Limited (KMRL) faces a document overload problem, hindering decision-making and operational efficiency. The challenge involves creating a system to condense, contextualize, and route critical information from various sources to relevant stakeholders.
Kochi Metro Rail Limited (KMRL) needs an AI-driven platform to optimize train induction planning and scheduling. The current manual process is inefficient and error-prone, leading to issues with punctuality, maintenance costs, and branding commitments. The platform should integrate data, enforce constraints, generate optimized schedules, and learn from historical data.
NATPAC needs a mobile app to collect travel data (trip number, origin, time, mode, destination, etc.) from users to improve transportation planning. The app should automatically detect some details and prompt users for others, storing the data on a server for analysis.
The Kerala government seeks a software solution to manage health records for migrant workers. This system aims to prevent disease transmission, improve public health surveillance, and support Sustainable Development Goals by ensuring equitable healthcare access.
The problem focuses on the lack of earthquake-resistant technology in dialysis infrastructure in India, which poses a risk to patients during seismic events. The goal is to develop a stabilization system to ensure continuous dialysis delivery, thereby safeguarding patient lives.
The problem focuses on reducing non-revenue water loss, improving water conservation awareness, and treating wastewater for domestic reuse. The Kerala government's water supply and sanitation agency is the organization involved.
The problem focuses on grey water management, reuse, and wetland management for water conservation. The project is initiated by the Government of Kerala and involves multiple departments.
The problem involves developing an AI-powered timetable generation system for higher education institutions, aligning with the NEP 2020 framework. The system should handle complex course structures, student preferences, faculty workload, and resource availability to automate timetable creation and prevent scheduling conflicts.
This problem focuses on developing a digital mental health support system for college students to address the increasing mental health issues and the lack of accessible support. The system will include AI-guided support, a booking system, a resource hub, a peer support platform, and an admin dashboard for data analysis.
The problem is the lack of a centralized digital platform to track and showcase student achievements in higher education institutions, leading to inefficiencies and limitations for students. The solution is to develop a mobile and web application that acts as a Smart Student Hub, managing student records and achievements.
The problem is the decline in student enrollment in government degree colleges due to a lack of awareness about career paths and educational opportunities. The proposed solution is a personalized digital platform that guides students on subject selection, college choices, and career options.
Students are tasked with redesigning a sports equipment using Fusion software, focusing on additive manufacturing techniques. They will utilize features like generative design and topology optimization to enhance functionality and efficiency for 3D printing. The project emphasizes learning about additive manufacturing and its applications in design, particularly in aerospace.
Students are tasked with using Fusion software to generate NC code for industrial components, requiring skills in CAD/CAM, G-code programming, and machining fundamentals. The project emphasizes creating viable, real-world solutions using CAM systems, which involve software, machinery, and post-processing.
The problem involves designing an autonomous machine for planting crops or weeding, focusing on lightweight and flexible design for easy transportation. The machine should incorporate Industry 4.0 applications like IoT and AI for smart agriculture, optimizing crop production.
Students are tasked with designing a 4-story commercial office building using Revit Architecture and Revit Structure, focusing on BIM model integration. The project involves creating a clash-free model for MEP design, quantity takeoff, and construction documentation, including 2D structural drawings and a 30-second walkthrough.
This problem focuses on developing an AI-powered platform for monitoring crop health, soil conditions, and pest risks using multispectral/hyperspectral imaging and sensor data. The platform integrates remote sensing and sensor data to provide timely insights, enabling proactive crop management. The solution involves using AI, ML, and DL techniques to analyze data and provide actionable alerts.
MathWorks seeks solutions to accelerate the creation of detailed digital twins of Indian road networks for realistic traffic simulations. The goal is to develop toolsets and workflows that incorporate features like potholes and erratic driver behavior, improving traffic management and infrastructure planning.
The problem focuses on creating a remote classroom solution for rural colleges with limited bandwidth. The solution should prioritize audio quality, compress visual content, and support interactive sessions while being accessible on entry-level smartphones and financially sustainable.
The problem involves creating an AI-based system to predict student drop-out risk by analyzing attendance, assessment scores, and fee payment data. The system should consolidate data from various spreadsheets, apply rule-based thresholds to identify at-risk students, and notify mentors for early intervention.
The problem involves creating an integrated student management system for a college using readily available cloud-based tools to streamline admissions, fee collection, hostel allocation, and examination records. The goal is to eliminate manual data entry, provide real-time institutional overview, and improve efficiency without the high cost of a full ERP suite.
The problem involves developing a multilingual chatbot for a college to answer student queries in multiple languages, including Hindi and a local language. The chatbot should deflect routine inquiries, freeing staff, and provide 24/7 information access. The solution must integrate with existing platforms, respect privacy, and be maintainable by student volunteers.
The problem involves developing computer programs to identify the design principles of Kolam art, a traditional Indian art form, and recreate the designs. The goal is to leverage computational methods to understand and replicate the mathematical and artistic aspects of Kolam patterns.
This project aims to develop an AI-powered FRA Atlas and a WebGIS-based Decision Support System (DSS) to improve the implementation of the Forest Rights Act (FRA). It involves digitizing legacy data, creating an interactive atlas, mapping assets using AI and satellite data, and building a DSS to recommend and layer government schemes for FRA holders.
This problem challenges students to develop innovative solutions for the Indian agricultural sector, focusing on enhancing agricultural practices and processing produce. The initiative is organized by AICTE and aims to leverage technology to address challenges in agriculture, food technology, and rural development.
The problem focuses on leveraging decentralized and distributed ledger technology (like blockchain) for innovative solutions, particularly in areas like cryptocurrencies and NFTs. The goal is to explore how this technology can transform various sectors.
The problem focuses on student innovation in clean and green technology, specifically addressing waste management and sanitation. Solutions should aim to improve waste segregation, disposal, and sanitation systems.
The problem focuses on generating innovative ideas to enhance fitness activities and promote physical well-being. The goal is to find solutions that can help individuals stay fit and improve their overall health through technological advancements.
The problem focuses on student innovation to showcase India's cultural heritage and traditions. The initiative is organized by AICTE and MIC-Student Innovation, falling under the theme of Heritage & Culture.
This problem focuses on fostering innovation in cutting-edge technology, particularly in healthcare and related fields. It highlights opportunities arising from shifts in healthcare trends and population growth.
This problem focuses on generating technology ideas for various tertiary sectors, including Hospitality, Financial Services, Entertainment, and Retail. The initiative is organized by AICTE and MIC-Student Innovation.
This problem focuses on generating innovative ideas for managing and generating renewable/sustainable energy sources more efficiently. The initiative is organized by AICTE and targets student innovation in the field of renewable energy.
The problem focuses on designing drones and robots to address challenges in India, such as medical emergencies and search and rescue. The initiative is led by AICTE and aims to foster student innovation in robotics and related hardware.
The problem focuses on student innovation using artificial intelligence to transform technology and gain insights from various sources. The goal is to intelligently use resources for advancements in technology and smart automation.
The problem focuses on developing intelligent devices to enhance the commutation sector. This initiative is part of a student innovation program under AICTE, focusing on smart vehicles.
The problem focuses on generating innovative solutions to improve the tourism industry, including hotels and travel services. The goal is to boost the current state of the tourism sector through new ideas and technologies.
Students are invited to submit innovative ideas to address challenges related to city resources, transport, and logistics. The problem focuses on hardware solutions within the theme of transportation and logistics.
This problem focuses on student innovation in disaster management, encompassing risk mitigation and planning across various phases of a disaster. The initiative is organized by AICTE and MIC-Student Innovation, with a hardware category focus.
The problem focuses on Smart Education, aiming to enhance learning through digital technologies. It seeks to make learning more effective, efficient, flexible, and comfortable for students.
This problem challenges students to design and develop innovative toys and games. The focus is on conceptualization and hardware development within the toys and games theme.
This problem focuses on student innovation for space-related travel and activities, such as spaceflight and exploration. The project is organized by AICTE and falls under the theme of Space Technology, specifically hardware.
The problem focuses on developing software solutions to enhance India's agricultural sector, including managing and processing agricultural produce. The initiative is organized by AICTE and targets student innovation.
The problem focuses on leveraging decentralized and distributed ledger technology (blockchain) for innovative solutions, particularly in areas like cryptocurrencies and NFTs. The goal is to explore how this technology can transform various sectors.
The problem focuses on student innovation in clean and green technology, specifically addressing waste management and sanitation. Solutions should aim to improve waste segregation, disposal, and sanitation systems.
The problem focuses on generating innovative ideas to enhance fitness activities and promote a healthy lifestyle. The goal is to find software solutions that can assist individuals in staying fit.
The problem focuses on generating innovative ideas that highlight India's cultural heritage and traditions. The initiative is organized by AICTE and MIC-Student Innovation, targeting student participation.
This problem focuses on fostering innovation in cutting-edge technology, particularly in healthcare and biotechnology, driven by evolving trends and population growth. The goal is to encourage student participation in developing innovative solutions within these sectors.
This problem focuses on generating technology ideas for various tertiary sectors, including Hospitality, Financial Services, Entertainment, and Retail. The initiative is organized by AICTE and MIC-Student Innovation.
This problem focuses on innovative ideas to improve the management and generation of renewable and sustainable energy sources. The goal is to find software-based solutions that enhance efficiency in this area.
The problem focuses on designing drones and robots to address challenges in India, such as medical emergencies and search and rescue. The initiative is led by AICTE and aims to foster student innovation in robotics and related software.
This problem focuses on student innovation in technology, specifically using AI to explore resources and gain insights for advancements. The goal is to leverage AI for smart automation and transformation.
The problem focuses on developing intelligent devices to enhance the commutation sector. This initiative is organized by AICTE and MIC-Student Innovation, with a theme centered around smart vehicles.
The problem focuses on developing innovative solutions to improve the tourism industry, including hotels and travel services. The goal is to boost the current situation of these industries.
Students are invited to submit innovative ideas to address challenges in city resources, transport, and logistics. The problem focuses on finding software-based solutions for urban issues.
This problem focuses on student innovation in disaster management, encompassing risk mitigation and planning before, during, and after disasters. The project is organized by AICTE and MIC-Student Innovation, and categorized under software.
The problem focuses on Smart Education, aiming to enhance learning through digital technologies. It seeks to make learning more effective, efficient, flexible, and comfortable for students.
This problem challenges students to design and develop innovative toys and games. The focus is on conceptualization and creation within the toys and games theme.
This problem focuses on student innovation for space-related travel and activities, such as spaceflight and exploration. The initiative is organized by AICTE and MIC-Student Innovation, with a theme centered around space technology.