Trust Check AI

TrustCheck-AI Smart,Secure,Student-first Scam Detection
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Sample
Sample

Inspiration

Many students and freshers fall victim to fake job and internship scams shared through social media and unofficial platforms. We wanted to build a simple tool that helps people verify opportunities instantly and avoid fraud.

What it does

TrustCheck AI analyzes job posts, offer letters, and company details using AI to detect scam patterns. It generates a risk score, highlights suspicious elements, and provides a clear verdict (Safe, Suspicious, or Scam).

How we built it

We built a web-based application using HTML, CSS, and JavaScript. The core analysis is powered by the Gemini API, combined with rule-based logic for fallback detection. Data is processed in real time, and scan history is stored database.

Challenges we ran into

Handling API errors and response failures Dealing with browser restrictions (CORS issues) Ensuring accurate detection without false positives Making the UI simple yet informative

Accomplishments that we're proud of

Built a fully working AI-powered scam detection tool Created a clean and intuitive user interface Implemented a fallback system so the app works even without API response Solved a real-world problem affecting students

What we learned

How to integrate and handle AI APIs effectively Debugging real-world frontend issues Improving UX for better clarity and usability Understanding scam patterns and user safety needs

What's next for Untitled

Add file upload support (PDF, screenshots) Highlight suspicious text directly in the content Improve accuracy with better AI prompts and datasets Add real company verification APIs Deploy as a public web app and mobile version