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EmoDetect: Android app that detects emotions through models trained on UTK Faces and fer2023new Datasets.

Python 60.84% HTML 3.93% Kotlin 35.23%
age-gender-recognition ai aimodel androidapp androidstudio emotion-detection keras-tensorflow kotline machine-learning ml python tensorflow

emodetect-emotion-detection-app-with-self-trained-models's Introduction

EmoDetect-AI_Emotion_Detection_App

EmoDetect: Android app that detects emotions through uploaded images using whisper AI.

EmoDetect

EmoDetect is an Android app that uses self trained models to detect emotions by analyzing images uploaded to the app. With EmoDetect, users can easily and quickly determine the emotional state of individuals in their photos, providing valuable insights and enhancing their understanding of others' feelings.

Datasets used are UTK Faces(For gender & age) & fer2023new(Emotion Detection)

Models are also included with training files

Screenshots

1

Screenshot 1: EmoDetect main screen

2

Screenshot 2: Uploading an image to EmoDetect

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Screenshot 3: EmoDetect analyzing the uploaded image

Getting Started

To use EmoDetect, simply download the app from the Google Play Store and start analyzing your images today! EmoDetect is compatible with all Android devices running Android 5.0 and higher.

Building the App

To build EmoDetect from source code, follow these steps:

  1. Download and install Android Studio from the official website.
  2. Clone the EmoDetect repository from GitHub.
  3. Open the EmoDetect project in Android Studio.
  4. Build and run the app on your device or emulator.

Contributing

We welcome contributions from the community! To contribute to EmoDetect, simply fork the repository, make your changes, and submit a pull request. We'll review your changes and merge them if they fit with the project's goals and guidelines.

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