PRAYAS
AI-powered disaster management platform that predicts flood risks, visualizes vulnerable regions on an interactive map and coordinates emergency response, evacuation routes and transparent relief fund allocation.
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problem
Floods are among the most frequent and destructive natural disasters affecting India, causing large-scale loss of life, displacement of communities, and extensive infrastructure damage every year. Despite the availability of meteorological data and geographic information, a significant gap exists between data availability and actionable insights that citizens and authorities can use during emergencies. Most disaster management systems operate in fragmented silos. Weather agencies produce forecasts, geographic data exists in separate repositories, and emergency response systems often rely on manual coordination.
solution
PRAYAS was designed as a comprehensive disaster management platform that integrates real-time environmental data, geographic terrain models, and community inputs to provide actionable flood intelligence. The platform functions as a central hub where both citizens and authorities can access real-time risk assessments, evacuation routes, and emergency services. At the core of the system is an interactive map interface built using Leaflet.js and OpenStreetMap. This interface visualizes flood risk zones based on rainfall data obtained from OpenWeatherMap and terrain elevation derived from digital elevation models. By combining meteorological data with topographic information, the system can simulate how floodwaters might propagate across local terrain.
PRAYAS originated from a simple observation: during disasters, information is often available but rarely accessible in a form that allows people to act quickly and effectively. In many flood-prone regions, weather warnings may be issued by meteorological agencies, but these warnings do not always translate into clear instructions for citizens on where to go, which routes are safe, or where relief resources are located.
The development process began with the construction of an interactive geographic interface capable of visualizing flood risks at a granular level. Using digital elevation models and live rainfall data, the system calculates potential flood expansion patterns and displays them directly on a map. This allows users to see how rainfall intensity could affect specific streets and neighborhoods rather than receiving generalized warnings.
Recognizing that preparedness is as important as response, the platform incorporates a simulation capability. Through an interactive slider, users can explore hypothetical rainfall scenarios and observe how increasing rainfall levels could influence flooding patterns. This transforms the platform from a passive information source into an active planning tool.
Another essential component of PRAYAS is communication. During disasters, timely and clear communication can significantly reduce panic and confusion. By integrating AI-generated safety briefings and bilingual narration features, the system ensures that risk information is presented in a clear and understandable manner.
The platform also addresses one of the most sensitive aspects of disaster management: the allocation of relief funds. By introducing a publicly accessible dashboard that visualizes donations and spending allocations, PRAYAS promotes transparency and accountability in disaster relief operations. Citizens can observe how funds are distributed, while administrators can manage updates through a secure portal.
year
September 2025
timeframe
10 days
tools
React, Firebase, APIs, Gemini
category
Personal Project




