Adventure Trails is a dynamic and interactive website designed to help users discover, review, and share their favorite places of interest, including hiking trails, sunset points, and more. The project integrates cutting-edge technologies, including interactive maps and deep learning, to provide an intuitive and engaging user experience.
- Add and Review Places of Interest: Users can contribute to the platform by adding new locations and sharing their experiences through reviews.
- Interactive Map: Powered by Mapbox, users can visually explore and locate various trails and points of interest with ease.
- Toxic Review Detection: A custom Deep Learning model based on Bi-directional LSTM networks filters out toxic comments in real-time, ensuring a positive and constructive feedback environment.
- Image Hosting: Images uploaded by users are stored using the free tier of Cloudinary, offering reliable and efficient media storage.
- Frontend: JavaScript, HTML, CSS
- Backend: Python (for integrating the Deep Learning model)
- Deep Learning: Bi-directional LSTM networks for toxic review detection
- Map Integration: Mapbox API
- Image Storage: Cloudinary free tier
To run the project locally, ensure you have the following:
- A modern web browser
- Python installed for backend functionality
- API keys for Mapbox and Cloudinary
- Clone the repository:
git clone https://github.com/your-username/adventure-trails.git cd adventure-trails



