I’m excited to share that I have completed the Building AI Application Challenge 2026 by Decoding Data Science!

For my final project, I built MedTrust AI – Health Misinformation & Influencer Credibility Analyzer.

MedTrust AI helps users verify public health-related videos before trusting or acting on them. The app analyzes a video URL, extracts the main health claim, checks trusted medical evidence, and generates a simple report with:

✅ MedTrust Score

✅ Risk Level

✅ Evidence Confidence

✅ AI Detected Claim

✅ Trusted Evidence Sources

✅ Red Flags & Missing Medical Context

✅ Safer Explanation and Recommended Next Step

This project helped me learn how to build a complete AI application from idea to final demo, including Streamlit UI development, API integration, prompt engineering, evidence search, error handling, deployment, and responsible AI design.

The biggest learning for me was that health-related AI tools must be built carefully, with safety, transparency, evidence, and disclaimers.

🔗 GitHub Repo: https://github.com/MLwithManali/MedTrust-AI

🔗 Live App: https://medtrust-ai-s4ede64magy2uvwq4rlynz.streamlit.app/

Thank you Decoding Data Science for this practical and valuable challenge!

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I’m excited to share that I have completed the Building AI Application Challenge 2026 by Decoding Data Science!