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Case Study — Desktop/AI
Emotion Detector
TkinterCNNTensorFlow
Overview
This AI-powered desktop tool uses a Convolutional Neural Network (CNN) to detect human faces and classify their emotions in real-time from a camera feed.
Key Features
Real-time Face Detection
Emotion Classification (7 states)
High-Frame-Rate Processing
Desktop GUI Integration
Privacy-First Local Processing
The Outcome
"Developed a high-accuracy model that runs locally on standard hardware without needing cloud GPUs."
Project Details
Client
Research Lab
Category
Desktop/AI
Technologies
#Tkinter#CNN#TensorFlow