ProxiChat is a location-based social application that allows users to connect with others who share similar interests in their proximity. Utilizing GPS tracking, ProxiChat helps users discover people nearby with common hobbies and goals, encouraging meaningful interactions. The app includes customizable profiles, privacy settings and live feeds for enhanced user experiences.

Features User Profiles: Create a customizable profile with details like age, ethnicity, workplace, education, and interests. Interest-Based Matchmaking: Users can find others with similar interests based on the number of shared tags. Privacy Controls: Users have control over their location visibility. GPS Integration: The app leverages GPS to show users on a map with location updates in real-time. Technology Stack Backend: Flask (Python) Frontend: HTML, CSS, JavaScript, Leaflet.js for map rendering Database: MySQL Version Control: GitHub Installation Clone the repository:

git clone https://github.com/WangaManga/ProxiChat.git Navigate to the project directory:

cd ProxiChat Set up a virtual environment:

python3 -m venv venv source venv/bin/activate # On Windows: venv\Scripts\activate

Set up the MySQL database:

Create a database named proxichat using your MySQL client. Configure the db_config in proxichat.py to match your MySQL credentials. Run the Flask application:

python proxichat.py Open your browser and go to http://127.0.0.1:5000/.

Usage Profile: Users can create and edit profiles with personal information and interests. Find Users: Users can search for others nearby who share common interests by setting filters. Map: View users on a map based on their location, with markers for those who match your interests. Requests: Interact with users through chat requests and manage communication. Contributing We welcome contributions! Please feel free to fork the repository, submit issues, or open pull requests.

License This project is licensed under the MIT License.

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