With the rise of deepfake content and AI-generated identities, fraudsters exploit digital platforms for impersonation and financial scams. Current systems fail to detect multi-modal threats in real time.

In this challenge, you will design and develop a digital anti-theft monitoring system for outdoor advertising banners. The system should detect unauthorized removal or tampering of banners and provide real-time insights and alerts to stakeholders. Students will: Identify key scenarios where banner theft occurs and define trigger conditions (e.g., sudden disappearance, tampering, unusual movement) Design a monitoring system using inputs such as: Camera feeds (computer vision) Sensor data (motion, tension, vibration — simulated if hardware not available) Develop algorithms or logic to detect anomalies or theft events Build a real-time dashboard to track the status of multiple billboard locations Implement alert systems (SMS, app notifications, email) for immediate action Ensure the system is scalable across multiple locations and easy to deploy Focus on cost-effective solutions, considering low-resource environments Optionally explore AI/ML models for visual detection of banner presence/absence

In this challenge, you will design and develop a centralized order management system that captures and processes orders from multiple channels—calls, emails, WhatsApp, and website—ensuring zero order loss and seamless billing. Students will: Identify gaps in current order capture and processing workflows Design a multi-channel integration system for all order sources Build a real-time dashboard for tracking and managing orders Automate workflows for estimates, approvals, and invoicing (e.g., Zoho integration) Implement alerts and fail-safes to prevent missed orders Ensure the system is scalable, user-friendly, and reduces manual effort Explore AI/automation for extracting and structuring order data

In this challenge, you will design and develop a digital workflow system tailored for shop-floor operations in manufacturing units like Ashta Tech Automation. The system should enable real-time tracking, efficient job allocation, and improved coordination between machines and personnel—ultimately increasing operational efficiency beyond current levels. Students will: Identify key inefficiencies in current shop-floor workflows, including idle time, bottlenecks, and communication gaps Design a digital job management system that allows easy assignment, tracking, and prioritization of tasks Develop a real-time monitoring dashboard to track machine status (running, idle, breakdown) and job progress Create mechanisms for downtime tracking and root-cause analysis (e.g., material shortage, operator delay, maintenance issues) Integrate user-friendly interfaces (mobile/tablet-based) for operators to update job status with minimal friction Explore the use of IoT sensors or manual inputs for capturing machine-level data Consider scalability across different factory sizes and adaptability to varying levels of digital maturity Evaluate cost-effectiveness, ease of deployment, and training requirements for workers

Urban areas face numerous daily issues such as potholes, garbage overflow, water leakage, broken streetlights, and public infrastructure damage. Citizens often struggle to report these problems effectively, and even after reporting, there is no transparency or tracking of resolution. This leads to delayed action, repeated complaints, and poor trust in civic authorities. There is a need for a centralized, transparent, and real-time system that enables citizens to report issues easily and ensures faster resolution with accountability.

Students frequently apply for internships without a clear understanding of industry- required skills, leading to high rejection rates. There is a lack of intelligent systems that can analyze a student’s profile, compare it with current market requirements, and guide them on how to improve. This results in poor preparation, mismatched applications, and missed opportunities.

In this challenge, you will design and develop a digital customization and sourcing platform that enables customers to create dimension-based metal furniture tailored to their specific spatial and functional needs. The platform should integrate intelligent design tools, automated sheet-metal nesting optimization, and a recycling-aware sourcing system to minimize material waste. Students will: Identify key customer requirements for customizable metal furniture across homes, offices, retail, and industrial settings Develop a dimension-based digital configuration system that translates user inputs into fabrication-ready designs Design an intelligent sheet-metal nesting and optimization engine to reduce scrap generation Propose a recycling loop that tracks, categorizes, and reuses sheet-metal offcuts effectively Consider cost optimization, manufacturability, sustainability metrics, and supply chain integration Prototype or simulate a platform that connects customers, designers, and fabricators in a closed-loop manufacturing ecosystem

Tourists often face safety risks such as entering unsafe zones, theft, or lack of immediate assistance in unfamiliar locations. Existing systems do not provide real-time monitoring or quick emergency response support, leading to increased vulnerability. There is a need for a smart system that ensures tourist safety through real-time alerts, secure identity verification, and rapid response mechanisms.

In this challenge, you will design and develop a modular air purification platform that can be configured for different use cases such as homes, offices, industrial spaces, healthcare facilities, or outdoor environments. The platform should allow interchangeable purification modules to be added, removed, or replaced based on the specific air quality requirements. Students will: Identify common air pollutants and requirements across different environments Design modular filtration or treatment units (e.g., particulate, gas, pathogen control) Develop a scalable airflow and enclosure design adaptable to multiple settings Consider energy efficiency, ease of maintenance, and user safety Prototype or simulate a configurable air purification system The final solution should demonstrate how a flexible platform can address diverse air quality challenges by adapting its modules, making air purification more efficient, cost-effective, and easier to maintain across different environments.

Modern supply chains often rely on disconnected systems, leading to issues such as stock mismanagement, delayed deliveries, and lack of real-time visibility. These inefficiencies increase operational costs and reduce customer satisfaction. There is a need for an intelligent system that can integrate and automate supply chain processes, providing real-time insights and predictive capabilities to improve overall efficiency.

Manual hospital systems cause overcrowding, long wait times, and poor queue handling. Patients lack real-time updates on their turn and bed availability, especially in emergencies. A smart system is needed to manage queues, tokens, and beds efficiently.

In today’s world, numerous real-life challenges exist across domains such as healthcare, environment, education, transportation, and public services. However, many of these problems remain unsolved due to lack of innovative and scalable solutions. This problem statement encourages participants to independently identify any real- world problem of their choice and develop a creative, practical, and impactful solution. It provides complete flexibility to explore ideas, technologies, and domains based on individual interest and innovation.

Students often fail to manage their study schedules effectively due to lack of planning, poor time management, and absence of structured guidance. This leads to missed deadlines, incomplete syllabus coverage, and increased stress during exams.

Farmers often receive low prices for their produce due to the involvement of middlemen and lack direct access to buyers. This results in reduced profits for farmers and higher prices for consumers, along with inefficiencies in the agricultural supply chain.

Many students find coding difficult and boring due to traditional learning methods. Existing platforms focus on theory or standard problem-solving but fail to provide an engaging, gamelike environment that motivates continuous learning. There is a need for an interactive platform where users can learn coding concepts through gameplay, challenges, and real-time competition, making learning fun, addictive, and effective. .