Today I focused on final enhancements, security, and debugging for my project MedTrust AI.
I improved input validation, prompt-injection safety checks, .env API key handling, JSON response validation, trusted medical source filtering, caching, latency tracking, and user-friendly error messages. I also tested edge cases such as invalid URLs, unsupported/private videos, API issues, and unclear health claims.
Key learning: building an AI app is not only about getting outputs, it is also about making the app safe, reliable, and user-friendly.
MedTrust AI: Helping you verify health information before you trust it.