For our Introduction to Deep Learning course, we were asked to create a CNN model and display it on a web page with PHP. That's why this project was done.
In today's fast-paced world, understanding and managing emotions are crucial for personal success. Our Text Emotion Predictor is a tool harnessing advanced technology to empower individuals through real-time emotion analysis and personalized guidance.
- Programming language and framework: Python, TensorFlow, Keras.
- PHP: Server-side rendering of HTML templates
- Visualization: Matplotlib.
- Web interface: HTML, CSS, JavaScript.
The user enters his/her frequently felt feelings and ideas into the text box and then presses the predict button. As a result, the model makes an analysis of the user's general mood.
About us page is giving informations about who we are, why should you use this application.