Total Prize Pool
₹75,000
Compete for exciting cash prizes and recognition. Top teams will be rewarded for their innovation and problem-solving excellence.
Mark Your Calendar
Stay on track with these key milestones for SRCAS Hackathon 2.0
Idea Submission
Dec 5
2025
Finalists Announced
Dec 8
2025
24 Hours Hackathon
Dec 13
2025
Problem Statements
Choose from our curated problem statements focusing on cybersecurity, sustainability, and smart city solutions. Each problem offers unique challenges and opportunities for innovation.
Mobile App for Cyberbullying Detection & Prevention
Problem:
With the growing use of social media and messaging platforms, cyberbullying among teenagers and students has become a major psychological and social issue. Victims often hesitate to report incidents due to fear or lack of awareness, leading to mental distress and social withdrawal. Existing moderation systems are platform-specific and fail to protect users across multiple apps or private chats.
Goal:
To develop an AI-powered mobile application that continuously monitors user messages, social media interactions, and public comments for offensive, threatening, or abusive content. Using natural language processing (NLP) and sentiment analysis, the app should detect harmful patterns and issue real-time alerts or guidance. It should also provide reporting options, mental health resources, and parental dashboards (optional for minors).
Expected Outcome:
A real-time, privacy-aware mobile safety companion that automatically identifies and flags cyberbullying incidents, promotes digital well-being, and supports early intervention. The project aims to reduce online harassment rates and increase awareness among youth and parents.
LLM for Cyber Issue SOPs
Problem:
Citizens often face cyber issues like fake profiles, online scams, identity theft, and harassment but are unaware of proper reporting channels or standard operating procedures (SOPs). Information on government and cyber cell websites is often fragmented and hard to navigate.
Goal:
To design an LLM-powered assistant (web/app/chatbot) trained on official government guidelines, CERT-In advisories, and cybercrime SOPs. The model should understand natural queries (e.g., "Someone made a fake account of me" or "How to report online money fraud?") and instantly provide step-by-step instructions, relevant official links, and reporting forms.
Expected Outcome:
An interactive, multilingual knowledge assistant that empowers users with accurate, immediate, and verified responses to cybercrime-related queries — reducing dependency on manual support and increasing the speed of citizen response in cyber incidents.
SOS & Geo-Fencing App for Women & Elderly
Problem:
In emergencies, women and elderly individuals may not have time to contact help or share their location. Current safety apps often require manual actions or fail when there's no internet connectivity.
Goal:
To create a lightweight safety mobile app that supports one-touch SOS alerts, geo-fencing, and real-time location sharing. The system automatically detects if a user exits a predefined safe zone or triggers panic detection (e.g., sudden acceleration, loud noise). The app should send alerts via SMS, WhatsApp, or calls to pre-registered contacts and local authorities even in low-network conditions.
Expected Outcome:
A reliable personal safety system offering proactive protection and rapid response. The app enhances security for vulnerable groups, fosters community safety awareness, and can be integrated with local police helplines or smart city emergency frameworks.
IoT Device Security Analyzer
Problem:
IoT devices like smart cameras, wearables, and home assistants often have weak security configurations. Many users are unaware that their devices are vulnerable to attacks or misconfigured, exposing their networks to exploitation.
Goal:
To build a network-scanning and vulnerability-assessment tool that detects IoT devices connected to a local Wi-Fi network, identifies their make/model, and checks for known vulnerabilities (CVE database) or default credentials. The tool should provide a security score and recommendations for securing each device (e.g., firmware updates, port closures).
Expected Outcome:
A comprehensive IoT vulnerability scanner that empowers users and enterprises to detect, analyze, and mitigate IoT security risks. This leads to stronger endpoint security, reduced attack surfaces, and greater visibility in smart home or industrial IoT environments.
Accelerating Realistic Road Network Modeling for Indian Traffic Simulations
Problem:
India's urban road networks are uniquely complex — characterized by irregular lane patterns, mixed traffic, temporary barricades, frequent construction zones, and poor road maintenance. Current traffic modeling tools fail to accurately capture these real-world irregularities, leading to inaccurate predictions for congestion, safety risks, and infrastructure planning.
Goal:
To design and develop an AI-assisted, MATLAB-integrated toolset that automatically generates realistic digital twins of Indian road networks from minimal inputs such as map data, drone imagery, or sensor datasets. The system should simplify digital twin creation, incorporate generative AI for auto-populating road environments, and integrate seamlessly with MATLAB, Simulink, and RoadRunner.
Expected Outcome:
A prototype workflow that automates Indian road network model creation, achieving 70–90% reduction in manual modeling time, increased realism in simulation scenarios, and seamless integration with MATLAB tools. This enables more data-driven urban planning and autonomous driving research.
Why Participate?
Join students in Tamil Nadu's premier hackathon and unlock your potential
Learn & Grow
Enhance your technical skills, learn new technologies and work on real-world problems that matter.
Network & Connect
Meet like-minded peers, industry experts and potential collaborators. Build lasting relationships.
Win Amazing Prizes
Compete for exciting prizes, recognition and opportunities. Showcase your innovation to industry leaders.
Make an Impact
Contribute to solving real-world challenges aligned with Sustainable Development Goals.
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Download Our Official PPT Template
All participants must use this official PPT template for their submissions. This ensures uniformity and fairness in presentation across all teams.
