Anonymous reporting and AI-powered safe navigation for safer Indian cities
Uses Zero-Knowledge Proofs (zk proofs) and the SELF protocol to allow users to report crimes without revealing their identity. Protects victims and whistleblowers from retaliation while ensuring that all reports are authentic and verifiable.
All incident reports are recorded on the Flow blockchain, making them tamper-proof and permanent. Provides citizens and authorities with transparent and unalterable crime records, fostering trust and accountability.
Employs machine learning models (e.g., K-Means clustering, anomaly detection) to analyze incident data and identify hotspots and high-risk zones. Suggests real-time safer routes, rather than just the shortest paths, with dynamic rerouting when users approach potentially unsafe areas.
Builds a community-driven urban safety ecosystem where citizens actively contribute to safer cities. Provides authorities and NGOs with reliable insights to improve decision-making and resource allocation.
Swaraksha is built by integrating decentralized technologies, AI models, and modern web frameworks into one unified ecosystem:
đ SELF Protocol (Anonymous Reporting)
Handles decentralized identity and zero-knowledge attestations.
Ensures that users can submit reports anonymously while still verifying authenticity.
zk proofs prevent exposure of identity, protecting victims and whistleblowers.
âď¸ Flow Blockchain (Immutable Case Storage)
All incident reports are stored immutably on the Flow blockchain.
Guarantees tamper-proof, timestamped records that no authority can alter or delete.
Provides trust and transparency for both citizens and authorities.
đ§ AI & Machine Learning (Safety Insights)
Models like K-Means clustering analyze geospatial data to detect unsafe hotspots.
Predictive models identify patterns in crimes and classify reports (harassment, theft, assault, etc.).
Results are fed into navigation to power real-time safety scoring of routes.
đşď¸ Google Maps API (Safe Navigation)
Integrates maps and routing.
Overlays AI-generated safety scores and crime hotspots on top of standard routes.
Provides dynamic rerouting if users approach unsafe areas.
âď¸ Next.js (Frontend & User Experience)
Modern React-based framework for building the Swaraksha web and mobile-friendly interface.
Delivers smooth, fast, and secure interactions for reporting incidents and checking safe routes.

