KTUN

KTUN

Every complaint, tracked. Every FIR, untouchable. Justice delivered with speed, transparency, and trust.

Created on 23rd March 2025

KTUN

KTUN

Every complaint, tracked. Every FIR, untouchable. Justice delivered with speed, transparency, and trust.

The problem KTUN solves

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.

Challenges we ran into

Sure! Here's a concise and humble answer in markdown:

🐞 Challenges We Ran Into

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 Semester 3 Hackathon

Applicable Track: EDU Chain – Semester 3 Hackathon Our project fits the EDU Chain track by showcasing how students can u...Read More

EDU Chain

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