CivicLens is a modern, transparent platform designed to bridge the gap between legislative hearings and public sentiment. Using advanced AI analysis, CivicLens provides real-time insights into legislative proceedings, helping citizens and policymakers understand the public's view on critical issues.
- Landing Page: A high-impact, public-facing landing page showcasing the platform's value proposition.
- Auth-Gated Access: Restricted access to sensitive dashboards with optimized loading states to prevent UI hangs.
- Live Hearing Tracking: Watch legislative hearings with real-time AI-generated caption summaries.
- Sentiment Analysis: AI-powered analysis of public comments to gauge community reaction.
- Legislative Insights: Briefing dashboards for policymakers summarizing key arguments, risks, and public feedback.
- Admin Console: Functional dashboard for administrators to create and manage hearings, view and edit user profiles, promote or remove users, and even trigger sentiment re‑analysis on user comments. It also includes tools for managing announcements and monitoring AI sentiment metrics.
- User Profiles: Personalized profiles for citizens to manage their identity and view their engagement.
- Performance & Caching: Efficient in-memory data fetching and state management using React Query for a snappy, responsive experience.
Application Name: CivicLens Description: Your Voice in Legislation - AI-powered civic engagement platform.
- Node.js & npm installed
Follow these steps to get the project running locally:
# Step 1: Clone the repository
git clone <YOUR_GIT_URL>
# Step 2: Navigate to the project directory
cd civic-voice-platform
# Step 3: Install dependencies
npm install
# Step 4: Start the development server
npm run devThe application will be available at http://localhost:8080.
This project is built with:
- Frontend: Vite, React, TypeScript
- Styling: Tailwind CSS, shadcn/ui
- Icons: Lucide React
- Data Visualization: Recharts
- Backend/Auth: Supabase
- AI/ML: Custom Supabase Edge Functions for sentiment analysis and summarization.
To deploy this project, you can push your changes to GitHub and connect it to your preferred hosting provider (e.g., Vercel, Netlify) or use Supabase for hosting Edge Functions.
MIT
