Allegedly: Community Note Check, See Beyond the Claim!

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  Allegedly: Community Note Check, See Beyond the Claim!

Inspiration In today’s digital world, misinformation spreads faster than ever. It’s difficult for users to distinguish between real and misleading content on social media. That’s why we created Allegedly: Community Note Check, a tool designed to bring clarity and trust back to online information.

What it does Allegedly: Community Note Check helps users see beyond the claim. It scans social media posts and assigns them labels like Verified, Sus, False, or Warning, making it easier to evaluate the credibility of the content you're reading.

How we built it Frontend: Built using Next.js and deployed on Vercel Backend: Powered by FastAPI, deployed on Render Database: Managed with Supabase Search & Analysis: Integrated Tavily API for content evaluation and fact-checking

Challenges we ran into While Tavily’s documentation was clear and helpful, we initially struggled with UI/UX design due to a lack of ready-made assets. Integrating Supabase and managing API keys took more effort than expected. Deploying two separate components (frontend and backend) across Vercel and Render added complexity to the workflow.

Accomplishments that we're proud of Successfully built and deployed a full-stack verification tool in a short timeframe Implemented real-time content flagging and labeling Seamlessly integrated multiple external platforms and APIs Created a clean and accessible user interface from scratch

What we learned End-to-end project deployment involving Vercel, Render, Supabase, and API services The importance of UI/UX planning before implementation Practical experience working with modern full-stack tools and real-time data processing

What's next for Allegedly: Community Note Check , See Beyond the Claim! Add support for browser extensions and plugins to integrate directly with social platforms Enhance the verification engine using LLMs and community-driven annotations Implement user feedback and dispute mechanisms for flagged posts Improve label granularity and introduce confidence scores Launch mobile-friendly support and streamline performance across platforms

Built With

• chatgpt
• fastapi
• gemini
• nextjs
• postgresql
• python
• render
• supabase
• tailwind
• tavily
• typescript
• vercel
• vite