FlangerLens

Optimized for real-time data processing, FlangerLens utilizes intelligent algorithms dynamically auto-scale video streams through a dedicated processor module.

FlangerLens is aimed at developers who need a straightforward, dependable solution.

Highlights

• Optimized for real-time data processing,
• FlangerLens utilizes intelligent algorithms dynamically
• auto-scale video streams through a

• Optimized for real-time data processing,
• FlangerLens utilizes intelligent algorithms dynamically
• auto-scale video streams through a

• javascript
• javascript framework (Flask/Django/FastAPI or equivalent)
• Pytest for testing

1. Clone the repository: git clone https://github.com/karanjamoses/FlangerLens.git
2. Install required dependencies: pip install -r requirements.txt

FlangerLens is configured through environment variables (see .env.example). Key options:

• APP_ENV: development or production.
• PORT: Port the server listens on.
• LOG_LEVEL: debug, info, or error.

Contributions are welcome and appreciated. Please submit pull requests and issues through the GitHub interface.

This project is licensed under the MIT License. See the LICENSE file for details.