Aurora – Revolutionizing Human-AI Interaction – “Hey Luna”
In the rapidly evolving world of artificial intelligence, voice assistants have become a pivotal element of human-computer interaction. Aurora is an intelligent AI-powered voice assistant designed to deliver a personalized and interactive experience by combining emotion detection, facial recognition, chatbot integration, and mobile automation. Utilizing machine learning algorithms like LBPH for facial recognition and neural networks for emotion-based music recommendation, Aurora adapts its responses based on the user's mood and commands. The assistant is equipped with hot word detection, WhatsApp messaging, making it a versatile tool for everyday tasks. Aurora also integrates ChatGPT-like capabilities via Hugging Face, offering intelligent and context-aware conversations. Built with Python, OpenCV, MediaPipe, and Streamlit, Aurora redefines digital interaction, blending real-time vision, voice, and automation into a seamless user experience. Key Words: Voice Assistant, Emotion Detection, Facial Recognition, LBPH Algorithm, Neural Network Music Recommendation, Hotword Detection, Chatbot Integration
Authors
- P. Deepthi
- A. Likhitha
Publication Details
- Journal
- INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
- Published
- 2025-04-15
- DOI
- https://doi.org/10.55041/ijsrem44587
- Primary Topic
- Economic and Technological Developments in Russia
- Type
- article
- Field-Weighted Citation Impact
- 0.00