truth tracer mdx submission #51
Merged
Conversation
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Description
A comprehensive misinformation detection platform that uses Perplexity's Sonar API to analyze claims, trace trust chains, and provide Socratic reasoning for fact verification
Type of Contribution
Checklist
Project Details
What problem does this solve?
Misinformation Detection: Helps users verify claims by combining fact-checking, trust chain analysis, and Socratic reasoning. Solves the problem of not knowing whether information is true or false by providing evidence-based verification with confidence scores.
What makes this contribution valuable to other developers?
Complete API Integration Example: Shows how to build a production-ready misinformation detection platform using Perplexity's Sonar API. Provides real TypeScript/NestJS code, proper error handling, and clean architecture patterns that developers can copy and adapt.
External Links (if applicable):
Testing
Unit tests with Jest, end-to-end tests, and a special test-claim.ts script that runs full analysis pipeline. Tested API endpoints with Swagger UI, cURL commands, and Postman. Verified both backend services and frontend components work together.
Screenshots (if applicable)
Additional Notes
Full-Stack Implementation: Complete working system with Next frontend and NestJS backend. Uses clean architecture with proper separation of concerns. Includes Docker deployment, environment configuration, and production considerations. The platform is live at https://truthtracer.netlify.app/ and ready for real-world use.