Inspiration

Rise of AI-generated images and deepfakes. Need for a simple tool to verify digital authenticity. Help users make informed decisions online.

What it does

Detects whether an uploaded image is Real or AI-generated. Provides a confidence score. Offers a simple and user-friendly web interface.

How we built it

Frontend: React + TypeScript + Vite Backend: FastAPI AI Model: ResNet18 (PyTorch) Deployment: Vercel + Railway

Challenges we ran into

Connecting frontend and backend. Deploying the AI model. Managing Python dependencies. Handling screenshot misclassification. Optimizing prediction speed

Accomplishments that we're proud of

Built a complete AI-powered web app. Successfully deployed it online. Integrated deep learning with a modern UI. Achieved real-time image analysis.

What we learned

Full-stack AI development. FastAPI and React integration. Cloud deployment workflows. Importance of dataset quality. AI models need diverse training data.

What's next for TrustLens AI

Improve model accuracy. Support video and audio deepfake detection. Add screenshot/document detection. Build a browser extension. Develop a mobile version.

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