Zynd Aickathon 2026 — JOLLY-LLB is a high-availability Citizen Advocate AI built on the Zynd Protocol. It simplifies complex Indian government policies, provides deterministic eligibility verification, and executes automated form filling with a trust-first approach.

JOLLY-LLB now features a state-of-the-art Professional Dark Theme dashboard built with Streamlit.

• Architecture Stepper: Real-time visualization of the AI's internal reasoning stages.
• Dynamic Profile Builder: Sidebar form to manage user demographics for precise eligibility checks.
• Actionable AI: Direct "Auto-Fill" integration that launches a background automation agent.

User Query → [ Semantic Search (FAISS) ] 
             → [ Deterministic Rule Gate ] 
             → [ RAG Synthesis (Groq Llama 3.3) ] 
             → [ Zynd Protocol Signing ] 
             → Response + Action Panel

1. RAG-Powered Policy Navigator: Semantic search across 20+ schemes using Gemini Embeddings and FAISS.
2. Deterministic Rule Engine: Hardcoded Python logic guards against LLM hallucinations for eligibility checks.
3. Next Best Action (NBA): Automatically redirects users to alternative schemes if they are ineligible.
4. Intelligent Form Filler: Playwright-based agent that auto-fills registration forms with 0.5s typing delay for visibility.

• Python 3.12+ (Recommended)
• Chrome or Edge browser (for Playwright)

git clone <repo-url>
cd jolly-LLB
pip install -r requirements.txt
playwright install chromium

Create a .env file in the root directory:

GOOGLE_API_KEY=your_gemini_api_key
GROQ_API_KEY=your_groq_api_key
ZYND_API_KEY=your_zynd_api_key

Embed the scheme data into the FAISS vector database:

python ingest.py

The backend coordinates the form-filling agent and the dummy portals:

uvicorn api.server:app --port 8000

The main interactive dashboard for users:

streamlit run app.py

• LLM: Groq (llama-3.3-70b-versatile)
• Embeddings: Google Gemini (models/gemini-embedding-001)
• Vector Store: FAISS
• Automation: Playwright
• Identity/Trust: Zynd Protocol
• Web: FastAPI & Streamlit

MIT — Built for Zynd Aickathon 2026. Jai Hind! 🇮🇳