Created on 23rd March 2025
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The Problem It Solves
In many regions, filing complaints or FIRs with the police is a broken process. People often face:
Delays or ignorance due to lack of follow-up and tracking
Tampering or deletion of FIRs under political or external pressure
No real-time updates about the progress of their case
Difficulty in submitting proof/evidence securely
Fear of retaliation due to lack of anonymity or transparency
This leads to public mistrust, discouraged victims, and often, justice delayed or denied.
✅ How People Can Use It
This platform makes reporting and tracking complaints easier, safer, and more transparent:
👤 For Citizens
File complaints via voice or app — even without internet, through a helpline
Track your case in real-time with clear status updates
Add photos, videos, or voice notes as evidence securely
Ensure your FIR is immutable once submitted — stored on blockchain
Receive emergency help quickly based on AI-prioritized severity
Stay anonymous or protected through privacy-preserving tech
👮♂️ For Police & Authorities
Get real-time task assignments based on proximity and urgency
Update complaint progress with live location and evidence uploads
Automatically escalate cases if not addressed in time
Create FIRs with one click, backed by tamper-proof blockchain records
Access decentralized evidence storage (photos, audio, documents) anytime
🔒 Makes Everything Safer & Smarter
Immutable FIRs = No more tampering
AI + Blockchain = Fair, fast, and transparent system
Decentralized storage = Your data, protected and private
This isn’t just a tech upgrade — it’s a justice system revolution.
Sure! Here's a concise and humble answer in markdown:
We didn't run into many major issues, but a few small hurdles did come up:
Real-time sync between AI, Blockchain, and Police App
Ensuring timely updates across the AI processing engine, blockchain records, and the police mobile app was tricky at first. We resolved it by implementing a lightweight event-based architecture with proper status polling and retries.
Telegram Bot integration for police alerts
Getting precise location and case details to show correctly in Telegram required some message formatting adjustments. A few rounds of debugging and testing fixed it.
Voice processing edge cases
Some voice recordings (with background noise) confused the AI agent initially. We used pre-processing filters and confidence thresholds to improve reliability.
Tracks Applied (1)
EDU Chain
Technologies used