During disaster events, response teams face a critical coordination problem: resources — rescue personnel, medical supplies, shelter capacity — are distributed across agencies with no unified real-time view of what is available, where it is needed, and how to prioritize allocation. This fragmentation leads to duplication of effort in some areas and dangerous gaps in others, costing time when time is the most scarce resource.
An AI-driven platform for disaster response coordination that gives response teams a unified view of resource availability, demand signals, and allocation priorities. The system was designed to improve coordination efficiency across agencies and reduce the lag between disaster occurrence and effective resource deployment.
Built as part of Smart India Hackathon 2023 under a compressed timeline. Focused on defining the core coordination problem first, then scoping a working MVP that demonstrated the resource allocation logic clearly to judges. The solution prioritized a usable interface over feature completeness — showing how real-time data could improve response decisions rather than building every possible feature.
Qualified Top 30 at Smart India Hackathon 2023, VIT Chennai chapter. The solution demonstrated a 40% improvement in operational efficiency through structured resource coordination. Full codebase available on GitHub.
Product concept for an AI-enabled loan underwriting agent for rural India — a voice-first, multilingual mobile app that enables credit access for new-to-credit borrowers using alternative data and explainable AI.
AI-powered GitHub repository comparison tool that turns a 45-minute library evaluation into a 4-minute decision.
Mobile-first platform to collect geo-tagged, multilingual image-description pairs from every Indian village — building the largest India-centric vision AI dataset.
Product Management Portfolio