Netra AI"

Inspiration

India, UPI has become the heartbeat of our daily economy. However, as transactions have become seamless, fraud has become invisible. I recently witnessed a friend lose ₹2,000 because they scanned a fake QR sticker pasted over a legitimate shop code. The app processed the payment instantly, blind to the physical tampering. As an Electronics and Communication Engineering (ECE) student, this problem resonated with me. I realized that while fintech apps are excellent at processing data, they lack "eyes" to see the physical world. They cannot detect visual anomalies or hardware-level threats like RAM scrapers. I asked myself: What if a payment app could see, analyze, and reason like a human security guard? That question birthed Netra AI.

What it does

How we built it

Challenges we ran into

Accomplishments that we're proud of

What we learned

What's next for Netra AI"

Built With

• algorithm
• algorithms:
• checksum
• css
• for
• git
• google-ai-studio-cloud-&-database:-google-firebase-(realtime-database-&-authentication)-tools:-vs-code
• html
• javascript-frameworks-&-libraries:-streamlit
• languages:-python
• local
• luhn
• matter.js-(for-physics-simulations)
• ngrok
• numpy-ai-&-apis:-google-gemini-api-(model:-gemini-1.5-flash)
• pandas
• tunneling)