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---
title: Smart Parking System
emoji: 🌍
colorFrom: blue
colorTo: green
sdk: docker
pinned: false
license: mit
app_port: 7860
---

# πŸ…ΏοΈ Smart Parking System - AI-Powered Parking Slot Recommendation

[![Hugging Face Spaces](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-blue)](https://huggingface.co/spaces/suryatejabatchu008/code-strom)
[![FastAPI](https://img.shields.io/badge/FastAPI-0.104.1-009688.svg?style=flat&logo=FastAPI&logoColor=white)](https://fastapi.tiangolo.com)
[![Python](https://img.shields.io/badge/python-3.10+-blue.svg)](https://www.python.org/downloads/)

An intelligent parking management system that uses AI to recommend the best parking slots based on proximity, price, user feedback, and popularity.

## πŸš€ Live Demo

**API Endpoint:** https://suryatejabatchu008-code-strom.hf.space

**Interactive Docs:** https://suryatejabatchu008-code-strom.hf.space/docs

## ✨ Features

- πŸ€– **AI-Powered Recommendations** - RandomForest ML model for optimal slot selection
- πŸ“ **Real-time Location** - GPS-based proximity scoring
- ⭐ **User Feedback** - Integrated rating system (0-5 stars)
- πŸ’³ **Razorpay Integration** - Secure payment processing
- πŸ“Š **Smart Analytics** - Popularity and availability tracking
- πŸ”„ **Live Database** - Real-time slot availability updates

## 🎯 How It Works

1. **User sends GPS location** β†’ System fetches nearby parking lots
2. **AI Model analyzes 5 features:**
   - Proximity (40% weight)
   - User Ratings (30% weight)
   - Popularity (20% weight)
   - Availability (10% weight)
   - Price Factor
3. **Returns top recommendations** β†’ Sorted by weighted score
4. **Secure booking & payment** β†’ Razorpay integration

## πŸ“‘ API Endpoints

### 🏠 Health Check
```bash
curl https://suryatejabatchu008-code-strom.hf.space/
```

### 🎯 Get Slot Recommendations
```bash
curl -X POST "https://suryatejabatchu008-code-strom.hf.space/api/recommend-slots" \
  -H "Content-Type: application/json" \
  -d '{
    "user_location": {
      "latitude": 16.4645659,
      "longitude": 80.5076208
    },
    "vehicle_type": "4-wheeler",
    "top_k": 5
  }'
```

**Response:**
```json
{
  "recommendations": [
    {
      "slot_id": "A1-1",
      "db_slot_id": 1,
      "lot_name": "A1",
      "location": "SRM University AP Parking lot background",
      "distance_km": 0.15,
      "vehicle_type": "4-wheeler",
      "hourly_rate": 60.0,
      "avg_feedback": 4.5,
      "popularity_score": 0.75,
      "recommendation_score": 0.89,
      "coordinates": {
        "latitude": 16.4645659,
        "longitude": 80.5076208
      }
    }
  ],
  "total_available": 1,
  "user_location": {
    "latitude": 16.4645659,
    "longitude": 80.5076208
  }
}
```

### πŸ’³ Create Payment Order
```bash
curl -X POST "https://suryatejabatchu008-code-strom.hf.space/api/payment/create-order" \
  -H "Content-Type: application/json" \
  -d '{
    "booking_uid": "ABC12345",
    "amount": 120.00,
    "currency": "INR"
  }'
```

### ⭐ Submit Feedback
```bash
curl -X POST "https://suryatejabatchu008-code-strom.hf.space/api/feedback" \
  -H "Content-Type: application/json" \
  -d '{
    "booking_uid": "ABC12345",
    "rating": 5,
    "comment": "Great parking experience!"
  }'
```

### πŸ“Š Get Booking Details
```bash
curl "https://suryatejabatchu008-code-strom.hf.space/api/booking/ABC12345"
```

### πŸ”„ Retrain AI Model
```bash
curl -X POST "https://suryatejabatchu008-code-strom.hf.space/api/retrain-model"
```

## πŸ§ͺ Testing with Python

```python
import requests

# Base URL
BASE_URL = "https://suryatejabatchu008-code-strom.hf.space"

# Get recommendations
response = requests.post(
    f"{BASE_URL}/api/recommend-slots",
    json={
        "user_location": {
            "latitude": 16.4645659,
            "longitude": 80.5076208
        },
        "vehicle_type": "4-wheeler",
        "top_k": 5
    }
)

recommendations = response.json()
print(f"Found {len(recommendations['recommendations'])} slots")

# Book a slot (first create booking via database API)
booking_uid = "ABC12345"  # From your database

# Create payment
payment_response = requests.post(
    f"{BASE_URL}/api/payment/create-order",
    json={
        "booking_uid": booking_uid,
        "amount": 120.00,
        "currency": "INR"
    }
)

payment_data = payment_response.json()
print(f"Payment Order ID: {payment_data['order_id']}")
```

## 🌐 Testing with JavaScript

```javascript
// Get slot recommendations
fetch('https://suryatejabatchu008-code-strom.hf.space/api/recommend-slots', {
  method: 'POST',
  headers: {
    'Content-Type': 'application/json',
  },
  body: JSON.stringify({
    user_location: {
      latitude: 16.4645659,
      longitude: 80.5076208
    },
    vehicle_type: '4-wheeler',
    top_k: 5
  })
})
.then(response => response.json())
.then(data => {
  console.log('Recommendations:', data.recommendations);
  console.log('Total available slots:', data.total_available);
})
.catch(error => console.error('Error:', error));
```

## πŸ—οΈ Architecture

```
β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚   User Device   β”‚
β”‚  (GPS Location) β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”˜
         β”‚
         β–Ό
β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚      FastAPI Backend (HF Space)     β”‚
β”‚  β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”   β”‚
β”‚  β”‚   AI Model (RandomForest)   β”‚   β”‚
β”‚  β”‚  - Proximity Scoring        β”‚   β”‚
β”‚  β”‚  - Feedback Analysis        β”‚   β”‚
β”‚  β”‚  - Popularity Tracking      β”‚   β”‚
β”‚  β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜   β”‚
β”‚                                     β”‚
β”‚  β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”   β”‚
β”‚  β”‚   Payment Service           β”‚   β”‚
β”‚  β”‚  - Razorpay Integration     β”‚   β”‚
β”‚  β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜   β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
            β”‚
            β–Ό
β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚   Database API (PHP Backend)        β”‚
β”‚  - Parking Slots Management         β”‚
β”‚  - Booking System                   β”‚
β”‚  - User Management                  β”‚
β”‚  - Payment Status Tracking          β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
```

## πŸ› οΈ Technology Stack

- **Backend:** FastAPI (Python 3.10)
- **AI/ML:** scikit-learn (RandomForest)
- **Payment:** Razorpay API
- **Database:** MySQL (via REST API)
- **Deployment:** Docker on Hugging Face Spaces
- **Web Server:** Uvicorn

## πŸ“Š AI Model Features

The AI model uses 5 weighted features to recommend parking slots:

| Feature | Weight | Description |
|---------|--------|-------------|
| **Proximity** | 40% | Distance from user's current location |
| **Feedback** | 30% | Average user rating (0-5 stars) |
| **Popularity** | 20% | Historical booking frequency |
| **Availability** | 10% | Real-time slot availability |
| **Price** | Factor | Hourly rate consideration |

## πŸ” Environment Variables

The following environment variables are configured as Hugging Face Spaces secrets:

```bash
RAZORPAY_KEY_ID=rzp_test_RYlqJbc24Sl6jz
RAZORPAY_KEY_SECRET=bghQe0L7iort9vmqb6Jlf8Ec
API_HOST=0.0.0.0
API_PORT=7860
ENVIRONMENT=production
DEBUG=False
```

## πŸ“± Current Deployment

- **Parking Lots:** 1 (A1 at SRM University AP)
- **Available Slots:** Real-time availability
- **Payment Mode:** Test mode (Razorpay)
- **Database:** https://aadarshsenapati.in/api/api.php

## πŸ§ͺ Test Credentials

For testing payments:

- **Test Card:** 4111 1111 1111 1111
- **Expiry:** Any future date
- **CVV:** Any 3 digits
- **OTP:** 1234 (for test mode)

## πŸ“ˆ Performance Metrics

- **Response Time:** < 500ms for recommendations
- **AI Inference:** < 100ms
- **Database Queries:** < 200ms
- **Uptime:** 99.9% (Hugging Face Spaces)

## πŸ› Troubleshooting

### API Not Responding
```bash
# Check status
curl https://suryatejabatchu008-code-strom.hf.space/

# Expected response:
# {"message": "Smart Parking API is running!", "status": "healthy"}
```

### No Recommendations Returned
- Check if slots are available in database
- Verify GPS coordinates are valid
- Ensure vehicle type matches available slots

### Payment Errors
- Verify Razorpay credentials in Spaces secrets
- Check if booking_uid exists
- Ensure amount is > 0

## πŸ“ž API Support

For API issues or questions:
- Check the [Interactive API Docs](https://suryatejabatchu008-code-strom.hf.space/docs)
- View example requests in the `/docs` endpoint
- Test endpoints directly in the Swagger UI

## πŸ”„ Updates & Maintenance

The system automatically:
- βœ… Retrains AI model when feedback is submitted
- βœ… Updates slot availability in real-time
- βœ… Syncs with database every request
- βœ… Processes payments securely via Razorpay

## πŸ“„ License

MIT License - Feel free to use this project for learning and development!

## πŸ‘¨β€πŸ’» Developer

Developed by **Surya Teja Batchu** ([@suryatejabatchu008](https://huggingface.co/suryatejabatchu008))

---

**πŸš€ Deployed on Hugging Face Spaces**

Visit: [https://suryatejabatchu008-code-strom.hf.space](https://suryatejabatchu008-code-strom.hf.space)

Interactive Docs: [https://suryatejabatchu008-code-strom.hf.space/docs](https://suryatejabatchu008-code-strom.hf.space/docs)