We are thrilled to announce that our team, Team Semicolon, emerged triumphant at the prestigious Kavach 2023 Hackathon, a 36-hour cybersecurity challenge organized by the Government of India. Out of a staggering 3,900 participating teams, we were among the 106 shortlisted for the grand finale. We clinched the 1st Prize in our bucket, securing a cash prize of 50,000 rupees!

• We were tasked with developing an Indigenous Cryptocurrency Investigation Tool, a solution to assist law enforcement bodies in India to combat cyber-crimes involving cryptocurrencies. Our tool uses tokenview.io APIs to fetch transaction details of given addresses. Through Open-Source Intelligence and custom ML models, we generate transaction graphs that help identify illicit transactions and wallets. We used MERN and Flask mini-server for integrating ML models.

• We also implemented a time-based OTP to improve security. Our tool doesn't just stop at analysis; it provides real-time monitoring of transactions and wallets, and even generates alerts when suspicious activity is detected.

• We developed a comprehensive Citizen Portal aimed at educating citizens about cryptocurrencies and equipping them to report cryptocurrency-related cybercrimes. We also created a one-stop solution to assess the risks associated with a given wallet address. In addition to this, we also created a browser extension to identify malicious wallet addresses on any site you surf.

Vedant Panchal: Led the team and worked on frontend and backend.
Stephen Vaz: His expertise spanned from backend development to training ML models for Ethereum fraud detection, and even contributing to the frontend.
Malay Phadke: Backend developer; he flawlessly designed API endpoints quickly and collaborated on backend and database tasks effectively.
Prathamesh Paradkar: Frontend developer; transformed our vision into a visually stunning reality. His exceptional designing skills were instrumental in crafting a seamless user experience. He made major contributions to the browser extension as well.
Prathamesh Mundada: ML developer; engineered the Bitcoin fraud detection model using Elliptic Data Set and helped in frontend development as well.
Aakanksha Dhawale: Frontend developer; helped in designing the frontend and almost entirely developed the citizen-facing portal.

We'd also like to express our heartfelt gratitude to our esteemed mentors, Prof. Dayanand Ambawade and Dr. Nataasha Nitin Raul, for their invaluable guidance and unwavering support throughout this journey. We'd also like to thank Bhartiya Vidya Bhavans Sardar Patel Institute of Technology Munshi Nagar Andheri Mumbai for providing us with the essential resources and opportunity to participate in this prestigious hackathon.