🧠 Alzheimer Detection Using Speech Recognition

A cutting-edge AI project that uses speech recognition and machine learning to detect early signs of Alzheimer’s disease from voice recordings.

This repository combines speech preprocessing, feature extraction, and predictive modeling to build a non-invasive system for detecting cognitive decline from speech patterns — empowering early diagnosis with modern AI techniques.

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🧠 About the Project

Alzheimer Detection Using Speech Recognition is an AI-driven system designed to identify early signs of Alzheimer’s disease through voice analysis.

The project leverages speech recognition, natural language processing (NLP), and machine learning techniques to analyze linguistic and acoustic features such as pauses, fluency, pronunciation patterns, and semantic structure.

By detecting subtle speech abnormalities associated with cognitive decline, this system aims to provide a non-invasive, cost-effective, and accessible tool to support early diagnosis and medical research.

This project demonstrates the intersection of:

• Artificial Intelligence
• Healthcare Technology
• Speech Processing
• Cognitive Analysis

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🚀 Project Overview

Alzheimer’s is a progressive neurological disorder that impacts memory, behavior and communication. Speech carries subtle cues — like pauses, prosody, fluency and language use — that can signal cognitive impairment. By leveraging AI and speech recognition, this project aims to classify speech samples into Alzheimer’s vs. non-Alzheimer’s categories using deep learning and traditional ML models. :contentReference[oaicite:0]{index=0}

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🧩 Features

• 🎙️ Speech Recognition

  • Transcribes audio recordings into text using an ASR engine.

• 🧠 AI-Driven Detection

  • Extracts acoustic and linguistic features from speech.
  • Trains ML/DL models to predict early cognitive signs.

• 📊 Visual Results & Predictions

  • Outputs probability scores and prediction results.
  • (Optional) Visualization of spectrograms/features.

• 🔧 Modular backend and frontend support for easy extension.

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📁 Repo Structure

Alzimer_detection_using_speech_recognation/ │ ├── Backend/ # AI models, speech processing & API logic │ ├── app.py # Main backend application │ ├── model/ # Trained ML/DL models │ ├── utils/ # Helper functions (feature extraction, preprocessing) │ └── requirements.txt # Backend dependencies │ ├── Frontend/ # User interface │ ├── public/ # Static assets │ ├── src/ # Frontend source code │ └── package.json # Frontend dependencies │ ├── test/ # Sample audio files for testing │ ├── README.md # Project documentation └── .gitignore # Ignored files