Realtime Emotion Detection
Project information
- Category: Software Development
- Sub Category: AI and ML
- Client: Final Year Project
- Project date: 2023
Realtime Emotion Detection using Deep Learning Model
Introducing our cutting-edge Emotion Detection Model built with MobileNet deep learning architecture. Trained on a vast dataset of 280,000 images from AffectNet, our model leverages advanced algorithms to accurately analyze and detect emotions in real-time. Experience the power of our model through our working demo and unlock a new dimension of emotion recognition technology.
Electric Vehicle Battery Monitoring System
Project information
- Category: Software Development
- Sub Category: Web Application
- Client: Final Year Project
- Project date: 2023
Unlock the Full Potential of Your Electric Vehicle
Our state-of-the-art Battery Monitoring System, powered by machine learning, accurately predicts the State of Charge (SoC), State of Health (SoH), and driving range based on crucial input parameters like voltage, current, temperature, and more. With our intuitive Flask app, you can easily input the necessary data and instantly obtain real-time insights into your battery's performance. Experience optimized efficiency and seamless driving with our innovative solution.