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https://github.com/ezhilezhil/real-time-ev-fleet-monitoring-and-predictive-analytics-solution
This project is used to display the overall status of the EV vehicle
https://github.com/ezhilezhil/real-time-ev-fleet-monitoring-and-predictive-analytics-solution
ev fleet-management projects responsive website
Last synced: about 1 month ago
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This project is used to display the overall status of the EV vehicle
- Host: GitHub
- URL: https://github.com/ezhilezhil/real-time-ev-fleet-monitoring-and-predictive-analytics-solution
- Owner: ezhilezhil
- License: mit
- Created: 2024-11-12T13:55:34.000Z (2 months ago)
- Default Branch: main
- Last Pushed: 2024-12-15T06:46:35.000Z (about 1 month ago)
- Last Synced: 2024-12-15T07:28:01.516Z (about 1 month ago)
- Topics: ev, fleet-management, projects, responsive, website
- Language: HTML
- Homepage: https://realtime-ev-fleet-project.netlify.app/
- Size: 504 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Real-Time EV Fleet Monitoring and Predictive Analytics Solution 🚗⚡
## Project Overview
The **Real-Time EV Fleet Monitoring and Predictive Analytics Solution** provides a comprehensive platform for managing and optimizing electric vehicle (EV) fleets. This solution leverages advanced technologies to deliver real-time insights into vehicle status, battery health, driver behavior, and predictive maintenance. It empowers fleet managers to make informed decisions, enhancing efficiency, safety, and sustainability.
---
## Features
### 1. **EV Registration and Monitoring**
- **Vehicle Registration**: Register and store EV details in the database.
- **Real-Time Monitoring**: Track key metrics like speed, location, and battery status in real time.
### 2. **Battery Health Status**
- Monitor battery performance.
- Generate alerts for low battery or performance degradation.
- Optimize routes based on battery levels and nearby charging stations.
### 3. **Driver Behavior Analysis**
- Analyze driver behavior based on acceleration, braking, and speed patterns.
- Identify areas for improvement to ensure safety and fuel efficiency.
### 4. **Maintenance Alerts**
- Predict and schedule maintenance using predefined rules.
- Receive alerts for potential vehicle issues.
### 5. **Cost and Energy Consumption Analysis**
- Visualize energy consumption trends.
- Monitor fleet operating costs for optimization opportunities.
### 6. **Report Generation**
- Generate customizable reports for performance, cost, and energy usage.
- Export reports in multiple formats for sharing and analysis.
---
## Technologies Used
### **Frontend**
- HTML, CSS, JavaScript
- Chart.js for data visualization
### **Backend**
- Flask for server-side development
### **Database**
- SQLite (or any chosen relational database)
### **APIs**
- Integration with third-party APIs for real-time data (e.g., location, weather, route optimization)
---
## Setup Instructions
### Prerequisites
1. Python 3.x installed on your system.
2. Required Python packages (install via `pip`).
### Installation Steps
1. Clone the repository:
```bash
git clone https://github.com/ezhilezhil/Real-Time-EV-Fleet-Monitoring-and-Predictive-Analytics-Solution.git
cd Real-Time-EV-Fleet-Monitoring-and-Predictive-Analytics-Solution
```
2. Install dependencies:
```bash
pip install -r requirements.txt
```
3. Run the Flask app:
```bash
python app.py
```
4. Open your browser and navigate to:
```text
http://127.0.0.1:5000/
```
---
## Project Structure
```
Real-Time-EV-Fleet-Monitoring-and-Predictive-Analytics-Solution/
├── app.py # Main application script
├── templates/ # HTML files
│ ├── index.html # Dashboard page
│ ├── vehicle_Registration.html
│ ├── battery_health.html
│ └── ... # Other HTML files
├── static/ # Static files (CSS, JS, images)
├── license # Python dependencies
├── README.md # Project documentation
└── database/ # Database files
```
---
## Future Enhancements
- Integration with AI/ML models for predictive analytics.
- Support for multiple languages.
- Mobile application for on-the-go access.
---
## Contribution
Contributions are welcome! Feel free to fork the repository, submit issues, or create pull requests.
---
## License
This project is licensed under the [MIT License](LICENSE).
---
## Support
If you found this project useful, consider buying me a coffee:
[](https://buymeacoffee.com/ezhilarasu)