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EmotionSense AI: Emotion-Aware Virtual Assistant with Real-Time Object Detection Project

EmotionSense AI is an intelligent web-based assistant that understands user emotions through text and facial expressions. It provides personalized chatbot responses, motivational guidance, real-time emotion detection, and object recognition using advanced AI and deep learning …

Difficulty Level
Intermediate
Core Modules
7 Modules
Laptop frame

Project Overview

EmotionSense AI is an advanced artificial intelligence platform designed to enhance human-computer interaction through emotion-aware communication. The system analyzes user emotions from both textual input and facial expressions using Transformer-based NLP models and Deep Learning techniques. It integrates a conversational chatbot powered by Large Language Models to provide context-aware and emotionally sensitive responses. The application also includes real-time facial emotion recognition and object detection using computer vision technologies. By combining sentiment analysis, emotion classification, object recognition, and AI-generated responses, the platform delivers a personalized and interactive user experience suitable for mental wellness assistance, smart virtual assistants, educational systems, and human-centered AI applications.

Module Breakdown 7 Modules

User Authentication & Authorization Module
Handles user registration, login, logout, and role-based access management using a custom user model. Password validation and secure authentication mechanisms ensure system security.
2. AI Chatbot Module
Provides intelligent conversational support using Groq LLM (Llama 3). The chatbot understands user queries and generates context-aware responses while considering emotional context.
Emotion & Sentiment Analysis Module
Analyzes user text to identify emotions and sentiment using DistilBERT transformer models. The detected emotion is used to improve chatbot responses.
Facial Emotion Recognition Module
Uses OpenCV and a Deep Learning model to detect faces through a webcam and identify emotional states from facial expressions in real time.
Motivational Assistance Module
Generates motivational and encouraging messages based on the user's detected emotions. The responses are generated dynamically using Generative AI.
Real-Time Object Detection Module
Uses YOLOv8 to identify and classify objects captured through the webcam. Detected objects are displayed with labels and AI-generated descriptions.
AI-Powered Object Knowledge Module
Enhances detected objects with short informative descriptions generated through Groq LLM, providing users with additional contextual knowledge.

Technology Stack

Python HTML CSS3 Java Script Django SQLite

Project Screenshots 3 Screenshots

Screenshot 1 of EmotionSense AI: Emotion-Aware Virtual Assistant with Real-Time Object Detection
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Screenshot 3 of EmotionSense AI: Emotion-Aware Virtual Assistant with Real-Time Object Detection
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Project Abstract

EmotionSense AI is an advanced artificial intelligence platform designed to enhance human-computer interaction through emotion-aware communication. The system analyzes user emotions from both textual input and facial expressions using Transformer-based NLP models and Deep Learning techniques. It integrates a conversational chatbot powered by Large Language Models to provide context-aware and emotionally sensitive responses. The application also includes real-time facial emotion recognition and object detection using computer vision technologies. By combining sentiment analysis, emotion classification, object recognition, and AI-generated responses, the platform delivers a personalized and interactive user experience suitable for mental wellness assistance, smart virtual assistants, educational systems, and human-centered AI applications.

Project Kit Includes

Complete Source Code
Database Schema & Setup Guide
Project Report Template
Completion Certificate
Installation & Deployment Guide

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