Support Assistance Portal

An AI-powered customer support assistance portal that leverages Google Gemini for intelligent interactions, image analysis for refund claims, and automated policy enforcement.

• AI-Powered Chat Interface: Intelligent conversational agent using Google Gemini to handle customer inquiries.
• Automated Image Analysis: Validates refund claims by analyzing uploaded images of damaged products using Gemini Vision.
• Policy Enforcement: Automatically applies company-specific return policies to decision-making.
• Multi-Tenancy Support: Manages multiple companies with distinct profiles and policies.
• Admin Dashboard: Comprehensive dashboard for administrators to view claims, manage escalations, and oversee refund queues.
• Real-time Stats: Tracks interaction metrics, AI resolution rates, and customer satisfaction scores.
• Supabase Integration: Robust database management for transactions, companies, and claims.

• Backend: Python (FastAPI), Uvicorn
• Frontend: Flutter (Web)
• AI/LLM: Google Gemini (Generative AI & Vision)
• Database: Supabase (PostgreSQL)
• Deployment: Vercel

• app/: Contains the FastAPI backend application.
  • main.py: Entry point for the API and static file serving.
  • services.py: Business logic, AI integration, and database interactions.
• assistance_web/: Specific frontend assets and Flutter web build.
• database_schema.sql: SQL schema for setting up the Supabase database.
• vercel.json: Configuration for deployment on Vercel.

• Python 3.9+
• Supabase Account & Project
• Google Gemini API Key

1. Clone the repository:

   git clone https://github.com/your-username/assistance-portal.git
   cd assistance-portal

2. Install Python dependencies:

   pip install -r requirements.txt

3. Environment Configuration: Create a .env file in the root directory and add the following:

   GEMINI_API_KEY=your_gemini_api_key
   SUPABASE_URL=your_supabase_url
   SUPABASE_KEY=your_supabase_key

4. Database Setup: Run the SQL commands from database_schema.sql in your Supabase SQL editor to set up the tables.

1. Start the server:

   uvicorn app.main:app --reload

2. Access the application: Open your browser and navigate to http://localhost:8000.

1. Company Registration:
   • Use the API or potential setup scripts to register a company.
   • A unique tagline and admin credentials will be generated.
2. Customer Support:
   • Navigate to /{company_tagline} to access the customer support chat.
   • Users can chat, upload images for claims, and get instant feedback.
3. Admin Panel:
   • Navigate to /api/admin/login (or the respective frontend route) to log in.
   • View pending claims, approve/reject refunds, and manage escalations.

Contributions are welcome! Please feel free to submit a Pull Request.

MIT License