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VanaSanchar - AI for Sustanibilit
"Build. Innovate. Elevate. Code. Create. Conquer"
Submitted
May 22, 2026, 7:01 AM
Last Updated
May 22, 2026, 7:01 AM
Project Links
Special Mention
This project was recognized for outstanding achievement in the Stellar Award category at Catalyst 2K26.
Problem Statement
Human–wildlife conflict has become a major crisis in forest-edge regions like the Sundarbans and rural India. Villagers frequently face dangerous encounters with tigers, elephants, snakes, and crocodiles, while forest departments struggle with delayed reporting, fake alerts, lack of realtime coordination, poor communication infrastructure, and limited multilingual accessibility. Existing systems are often: slow and non-realtime difficult for rural communities to access not multilingual unable to verify authenticity of reports disconnected from emergency response workflows
Solution & AI Usage
As a result: emergency response gets delayed misinformation spreads rapidly lives of both humans and wildlife are endangered conflict data can be manipulated or lost communities remain unprepared during emergencies VanSanchar aims to solve this problem by building a realtime AI-powered wildlife emergency coordination platform that connects citizens, forest officials, rescue teams, and NGOs through: realtime SOS
Full Description
VanSanchar — Project Description
VanSanchar is a realtime AI-powered human–wildlife conflict management and emergency coordination platform designed for forest-border communities of India, especially the Sundarbans region of West Bengal. The platform aims to bridge the communication gap between villagers, forest departments, NGOs, wildlife rescue teams, and emergency responders through a single multilingual digital ecosystem.
In many rural and semi-rural forest regions, wildlife conflicts involving Royal Bengal Tigers, elephants, snakes, and crocodiles are increasing rapidly. Villagers often face delayed emergency response, lack of safety awareness, fake information, poor connectivity, and inefficient reporting systems. Existing solutions are mostly manual, slow, and not accessible to common people in regional languages. VanSanchar solves this problem using realtime technology, AI assistance, blockchain verification, and offline-first accessibility.
The platform allows citizens to instantly report wildlife sightings, snakebite emergencies, tiger movements, elephant intrusions, or SOS emergencies using GPS-enabled reporting tools. Reports are connected to realtime dashboards where forest officers can monitor incidents live on interactive maps powered by OpenStreetMap and React Leaflet. Nearby users and officials receive realtime alerts, helping reduce response delays during critical situations.
VanSanchar includes a multilingual AI chatbot powered by Gemini API that provides wildlife safety guidance, snakebite first aid, emergency instructions, and conflict awareness in English, Hindi, and Bengali. The chatbot supports contextual conversations and preset emergency templates for faster reporting during panic situations.
The platform also contains an AI-based wildlife detection system where users can upload animal images for instant species identification, confidence scoring, threat analysis, and safety recommendations. This helps villagers quickly identify dangerous species such as venomous snakes or high-risk wildlife.
One of the key innovations of VanSanchar is its blockchain verification system using Stellar Testnet. Only verified or resolved wildlife reports are written to blockchain, making them tamper-proof and publicly verifiable. This prevents fake reporting, misinformation, and unauthorized data manipulation. Forest officers verify reports, after which Firebase/Supabase backend triggers create SHA-256 hashes and store immutable transaction proofs on Stellar blockchain.
The app is designed as a Progressive Web App (PWA), allowing users to install it directly on mobile devices with offline functionality. Even without internet access, users can submit reports locally, access safety guides, and sync data automatically once connectivity returns. This is critical for remote forest villages with unstable networks.
Tech Stack
Screenshots
4 attached
