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TruthGuardAI is a conceptual AI-driven tool designed to tackle the growing issue of misinformation and disinformation in the digital age. By leveraging advanced technologies like natural language processing (NLP) and machine learning, it aims to verify the accuracy of online content in real-time. The system would cross-reference claims with credible databases and fact-checking sources to identify false or misleading information. Additionally, it could detect language biases, evaluate sources' credibility, and provide users with alerts when they encounter potentially inaccurate content. TruthGuard AI might also offer transparency reports, explaining why certain information is flagged and providing evidence-based corrections. Ideally, it would integrate seamlessly into platforms like social media, news websites, or browsers, empowering users to make informed decisions about the content they consume and share. TruthGuard AI could play a crucial role in fostering a more informed and responsible online community by promoting digital literacy and reducing the spread of false information.
- Frontend: React + TypeScript (Vite), Tailwind CSS
- UI/Animation: Framer Motion, Lucide icons, React Three Fiber / drei (3D visuals)
- Data & Visualization: Chart.js / react-chartjs-2, wavesurfer.js (audio waveform), react-dropzone
- Backend: Node.js (
backend/server.js) - Data/Auth: Supabase
git clone https://github.com/bharat3645/TruthGuardAI.git
cd TruthGuardAI
npm install
npm run devCreate a .env file in the project root with your own Supabase project credentials:
VITE_SUPABASE_URL=your-supabase-url
VITE_SUPABASE_ANON_KEY=your-supabase-anon-key
For the Node backend, see backend/example.env for the required variables.
This is an early-stage build — the frontend UI and a small Node backend exist, but the full fact-checking pipeline described above is still a work in progress.