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.
OFDM Signal Transmission
Project information
- Category: Software Development
- Sub Category: Web Application
- Client: Final Year Project
- Project date: 2023
OFDM with AES Encryption & Flask Visualization
Discover our state-of-the-art Python code for OFDM signal transmission with AES encryption, overcoming the challenges of AWGN channel noise. Our innovative Flask application allows you to input signals and visualize the transmitted, noisy, encrypted, decrypted signals, providing a comprehensive understanding of the data flow. Experience seamless signal processing and encryption with our cutting-edge solution.
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.