README.md

metadata

title: Digi Biz
emoji: 🏢
colorFrom: blue
colorTo: indigo
sdk: docker
app_port: 7860

Digi-Biz - Agentic Business Digitization

Transform business documents into beautiful digital profiles using AI

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🚀 Quick Start

1. Install Dependencies

pip install -r requirements.txt

2. Configure Environment

Create .env file:

GROQ_API_KEY=gsk_your_key_here

Get your free API key at: https://console.groq.com

3. Run the App

streamlit run app.py

Open http://localhost:8501

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📋 Features

✅ Upload ZIP - PDFs, DOCX, images, videos
✅ AI Processing - 8 AI agents extract data
✅ Business Profile - Beautiful digital profile
✅ Edit & Export - Modify and download as JSON

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🎯 Works For Any Business

• 🍽️ Restaurants - Menus, dishes, prices
• 🏪 Retail - Products, inventory, specs
• 💼 Services - Packages, pricing, policies
• 🏨 Hotels - Rooms, amenities, rates
• 🥾 Travel - Tours, itineraries, inclusions
• And more!

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📁 Project Structure

digi-biz/
├── app.py                      # Streamlit app
├── backend/
│   ├── api/main.py            # FastAPI backend
│   ├── agents/                # 8 AI agents
│   ├── models/schemas.py      # Data models
│   └── utils/                 # Utilities
├── frontend/                   # Next.js (optional)
├── storage/                    # Profiles storage
├── docs/                       # Documentation
├── requirements.txt
└── .env.example

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🔧 API Endpoints

POST   /api/upload              # Upload ZIP
GET    /api/status/{job_id}     # Processing status
GET    /api/profiles            # List profiles
GET    /api/profile/{job_id}    # Get profile
PUT    /api/profile/{job_id}    # Update profile
DELETE /api/profile/{job_id}    # Delete profile
POST   /api/profile/{job_id}/export  # Export JSON

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📊 Processing Pipeline

1. File Discovery - Extract & classify files
2. Document Parsing - Extract text from PDFs/DOCX
3. Table Extraction - Detect & classify tables
4. Media Extraction - Extract images
5. Vision Analysis - Analyze images (Groq)
6. Indexing - Build search index
7. Schema Mapping - Extract business data (LLM)
8. Validation - Validate & score profile

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🎨 Tech Stack

• Frontend: Streamlit
• Backend: FastAPI + Python
• AI: Groq API (Llama-4-Scout-17B)
• Storage: Local JSON files

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📖 Documentation

See docs/ folder for detailed documentation:

• HACKATHON_QUICKSTART.md - Quick start guide
• CURRENT_STATUS.md - Project status
• All technical documentation

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🏆 Hackathon Ready!

90-second demo:

1. Upload ZIP (10 sec)
2. Watch processing (60 sec)
3. Show profile (20 sec)

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Built with ❤️ for any business owner!