Machine Learning Based Disease Detection Using Raspberry Pi – 25 Project Modules
Aislyn Technologies provides complete Machine Learning based Disease Detection project guidance in Bangalore for BE, BTech, MTech, MCA, BCA, and Diploma students. This project integrates Raspberry Pi with Machine Learning algorithms to detect diseases using medical datasets or image processing techniques.
Below are 25 modules/features included in this project:
Raspberry Pi Hardware Setup
Camera Module Integration
Medical Dataset Collection
Data Preprocessing using Python
Feature Extraction Techniques
Image Resizing and Normalization
Machine Learning Model Selection
CNN Based Disease Detection
Training and Testing Module
Model Accuracy Evaluation
Confusion Matrix Analysis
Real-Time Image Capture
Live Disease Prediction Module
Multi-Class Disease Classification
GUI Interface using Python
LCD Display Integration
Buzzer Alert System
Data Logging and Storage
Cloud Dashboard Integration
Edge AI Deployment on Raspberry Pi
Performance Optimization
Power Management Module
Report Generation System
IEEE Documentation Preparation
Project Report and PPT Preparation
Complete source code, hardware setup guidance, AI model training support, and viva explanation assistance are provided.
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