🎙️🧠 AIVA – AI Virtual Assistant

🚀 AIVA is a multimodal AI assistant that processes face and speech input to understand user emotion and generate intelligent responses in real time.

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📌 Overview

AIVA (AI Virtual Assistant) is an AI-based system that combines:

• 🎥 Computer Vision (Face Detection)
• 🎤 Speech Recognition (Audio → Text)
• 🧠 NLP (Text Understanding + Response Generation)
• 🖥️ Interactive UI (Streamlit)

It enables real-time human-computer interaction using both visual and voice inputs.

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✨ Features

• 🎥 Real-time face detection using webcam
• 🎤 Speech-to-text conversion
• 🧠 NLP-based response generation
• 💬 Intelligent response engine
• ⚡ Fast and lightweight processing
• 🖥️ Interactive Streamlit interface

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🧠 Tech Stack

⚙️ Category	🚀 Technology
Language	Python
Computer Vision	OpenCV (Haarcascade)
Audio Input	PyAudio
Speech Recognition	SpeechRecognition
NLP	Basic NLP techniques
UI Framework	Streamlit

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⚙️ How It Works

🎥 Face Detection

• Implemented in face_detect.py
• Uses Haarcascade with OpenCV
• Detects faces in real-time from webcam

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🎤 Audio Emotion / Speech Processing

• Implemented in audio_emotion.py
• Captures audio using PyAudio
• Converts speech to text using SpeechRecognition

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🧠 NLP & Response Engine

• Implemented in response_engine.py
• Processes text input
• Generates intelligent responses based on user speech

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🖥️ Main Application

• app.py integrates:
  • Face detection
  • Speech processing
  • NLP response
• Provides an interactive UI using Streamlit

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🎯 Output

• 🎥 Detected face (visual confirmation)
• 🗣️ Recognized speech (text)
• 💬 AI-generated response
• ⚡ Real-time interaction

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📊 Project Structure

AIVA/
│
├── model/                 # Stored ML/NLP models
│
├── app.py                 # Main Streamlit application
├── face_detect.py         # Face detection module
├── audio_emotion.py       # Audio processing & speech recognition
├── response_engine.py     # NLP response logic
│
├── requirements.txt       # Dependencies
├── README.md              # Project documentation
└── .gitignore             # Ignored files

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👩‍💻 Authors

Komal Singh

Pranjal Singh