A Deep Learning Recurrent Neural Network by PyTorch to identify the different emotions in the text, feedback & paragraph by training the model to predict accurately, the emotions of anger, fear, joy, surprise & sadness

Emotion Analyzer using CNN & NLP – Detects emotions from text and audio data using deep learning and natural language processing techniques.

Sentimental Analyzer is a modern, real-time Emotion Detection web application. It allows users to input free text, and it uses a deep learning model (powered by Hugging Face Transformers) to detect the emotion expressed - such as happiness, sadness, anger, and more.

AI-Based Multimodal Interview Confidence Analyzer is a deep learning-powered system that evaluates a candidate’s confidence during interviews by analyzing facial expressions and voice inputs. The system integrates emotion recognition, speech-to-text processing, and sentiment analysis to generate a real-time confidence score.