README.md hello-world-variations.zip PROJECT_INFO.md script.js app.py

README.md

# AI-Commerce Chatbot by RSK World

## Developed by: Molla Samser
### Team: Rima Khatun (Designer & Tester)
**Year:** 2026
**Website:** [rskworld.in](https://rskworld.in)

---

## 🚀 Overview
AI-Commerce is a premium, next-generation e-commerce chatbot designed for the year 2026. It leverages OpenAI's advanced models to provide a seamless shopping experience, including product discovery, order tracking, and multilingual support.

## ✨ Features
- **🤖 AI-Powered Chat**: Intelligent responses for product queries and customer support.
- **🌍 Multilingual support**: Fluent in English and Hindi for a global reach.
- **📦 Order Tracking**: Real-time status updates using order IDs (e.g., `ORD-101`).
- **💎 Loyalty Points**: Reward customers for their purchases, check balance via chat.
- **🎙️ Voice Simulation**: Future-ready voice input interface simulation.
- **📊 Admin Dashboard**: Real-time analytics and data management for store owners.
- **🎨 Premium UI**: Modern glassmorphism design with a responsive layout.

## 🛠️ Technologies Used
- **Backend**: Python 3.x, Flask, SQLAlchemy
- **AI**: OpenAI GPT-4o API
- **Database**: SQLite (Automated migrations)
- **Frontend**: Vanilla CSS, Modern JavaScript, FontAwesome, Chart.js

## 📥 Installation

1. **Clone the project**
2. **Install requirements**:
```bash
pip install -r requirements.txt
```
3. **Configure API Key**:
Set your OpenAI API key in `bot_logic.py` or as an environment variable:
```bash
SET OPENAI_API_KEY=your_key_here
```
4. **Run the application**:
```bash
python app.py
```
5. **Access the site**:
- Storefront: `http://127.0.0.1:5000`
- Admin: `http://127.0.0.1:5000/admin`

## 📜 License
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.

---
*© 2026 RSK World. All rights reserved. Empowering e-commerce with AI.*

app.py

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# Project: E-commerce Chatbot
# Developed by: Molla Samser
# Team: Rima Khatun (Designer & Tester)
# Website: https://rskworld.in
# Email: support@rskworld.in
# Year: 2026
# "Empowering E-commerce with AI"

import os
from flask import Flask, render_template, request, jsonify
from dotenv import load_dotenv
from database import db, init_db
from bot_logic import get_bot_response, search_products
from models import Product, Order

load_dotenv()

app = Flask(__name__)
app.config['SQLALCHEMY_DATABASE_URI'] = 'sqlite:///instance/ecommerce.db'
app.config['SQLALCHEMY_TRACK_MODIFICATIONS'] = False

# Ensure instance folder exists
if not os.path.exists('instance'):
    os.makedirs('instance')

init_db(app)

@app.route('/')
def index():
    return render_template('index.html')

@app.route('/chat')
def chat_page():
    return render_template('chat.html')

@app.route('/admin')
def admin_page():
    return render_template('admin.html')

@app.route('/api/chat', methods=['POST'])
def chat():
    data = request.json
    user_message = data.get('message')
    history = data.get('history', [])
    
    assistant_response = get_bot_response(user_message, history)
    
    return jsonify({
        'response': assistant_response
    })

@app.route('/api/products')
def api_products():
    query = request.args.get('q', '')
    if query:
        products = search_products(query)
    else:
        products = [p.to_dict() for p in Product.query.all()]
    return jsonify(products)

@app.route('/api/orders')
def api_orders():
    orders = [o.to_dict() for o in Order.query.all()]
    return jsonify(orders)

if __name__ == '__main__':
    app.run(debug=True)

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