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Face detection is a mobile app for Counting Faces in image

face-detection-example-1024x577

Face detection Description

This app can quickly tell you how many faces are in a picture

Key Features:

  1. Core Functionality: *Accurate Face Detection: The app's primary function. It should reliably detect faces in various image conditions (different angles, lighting, partial obstructions). Emphasize accuracy and speed. *Face Counting: Automatically determines the number of faces present in the image. This is a core value proposition.

  2. Image Selection: Allow users to select images from their device's gallery or take a new photo using the camera. Flexibility is key.

  3. User-Friendly Interface: A clean, intuitive, and easy-to-navigate interface is crucial. Emphasize simplicity and ease of use.

Demo

Movie app Here

Technologies Used

  • Figma for UI/UX Design
  • Flutter for Frontend
  • ML Kit

Version Control and Collaboration

  • GIT: Distributed version control system.
  • GITHUB: Web-based platform for version control and collaboration.

Installation (still ongoing)

Follow these steps to set up Storytime locally on your machine:

  1. Clone the Repository:

    • Open your terminal and run:
      git clone https://github.com/Marwadnz4/InternIntelligence_face_detection.git
  2. Install Dependencies:

    • Run this command in Terminal:
      flutter pub get
  3. Build App: Run this command in the Terminal:

    flutter run 

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

Please make sure to update tests as appropriate.

License

MIT

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