r/factchecker

Inspiration

The rise of misinformation online inspired me to create a tool that helps users verify information directly while browsing. I wanted to make fact-checking as seamless as spell-checking.

What it does

r/factchecker instantly verifies Reddit posts, URLs, and selected text within your browser. It provides AI-powered credibility scores and highlights suspicious content, helping users combat misinformation without leaving the webpage they're viewing.

How I built it

Built with JavaScript and browser extension APIs for the frontend, and AWS Lambda + API Gateway for serverless backend processing. The extension captures user input, sends it to Lambda for AI analysis, and displays results in an intuitive popup interface.

Challenges I ran into

Browser extension security policies and CORS restrictions proved tricky when connecting to AWS Lambda endpoints. Balancing real-time performance with thorough fact-checking accuracy was another key challenge I overcame.

Accomplishments that I'm proud of

Created a fully functional browser extension from scratch with seamless AWS Lambda integration. Achieved sub-second response times while maintaining comprehensive fact-checking capabilities and intuitive user interface design.

What I learned

Mastered browser extension APIs, AWS Lambda optimization for fast cold starts, and serverless architecture design. Gained deep insights into cross-origin resource sharing and real-time fact-checking algorithms.

What's next for r/factchecker

Enhanced AI models, multi-browser support, team collaboration features, and integration with academic databases. Planning mobile app support and enterprise-grade security for organizational deployments.

Built With

• api-gateway
• bedrock
• chrome-extensions-api
• css3
• html5
• javascript
• lambda
• node.js