Abstract
Emotion detection from images is one of the most high-powered tasks in today’s world and AI detection plays a fundamental role, this project aims to understand human emotions which play a major role in well-being, this project aims to dive deep into human emotions and provide a variety of solutions, through Human-computer interaction takes place, emotion detection and voice signals are input signal The project is classified into two major components: one where a human emo- tion is detected through camera is detected and facial recognition takes place. Secondly, where a solution is provided to a recorded emotion using a voice model, it creates a conversation which result turn provides a solution based on the collected database. The paper presents a theory-based framework of technologies discusses challenges and behavioural considerations, and gives directions for future practices and use. Index Terms—Voice GPT, Artificial intelligence (AI), Facial emotion recognition (FER), Emotion Detection (ED), Open CV Library (OCL) Convolutional neural networks (CNN), Machine Learning (ML), Tensor flow, GTTP, Keras
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