Paper Key : IRJ************227
Author: Gautam Dandgawhal,Ashish Shinde,Tejas Sonawane,Piyush Shimpi,Suhayb Khan
Date Published: 10 Apr 2024
Abstract
The "EmoDetect" Android application leverages Convolutional Neural Networks (CNNs) powered by Tensor Flow to detect emotions in real-time from both images and live video streams. This innovative app empowers users to explore the emotional dimensions of human faces, making it a valuable tool for a wide range of applications, from personal expression analysis to mental health support. Users can seamlessly access their device's camera, and the app processes each frame, accurately identifying emotions like happiness, sadness, anger, and more. The deep learning model is trained on extensive emotion-labelled facial datasets, ensuring robust and accurate predictions, This android app excels in real-time emotion recognition, offering a versatile interface that overlays detected emotions onto live camera previews