Python & AI / Data Science

AI Powered Multiple Disease Prediction & Health Diagnostic System

Python Scikit-Learn Pandas Streamlit Flask NumPy

What is Included in this Complete Project Package:

✓ Complete Python Source Code (.ZIP) — Streamlit & Flask Web UI

✓ Public Benchmark Datasets (.CSV) & Sample Pre-trained Models (.PKL)

✓ Direct Git Repository Access (GitHub/GitLab)

✓ Model Training & Evaluation Jupyter Notebooks (.IPYNB)

✓ Python Virtual Environment & Package Setup Guide (requirements.txt)

📖 Project Overview

An end-to-end Machine Learning web application built using Python, Scikit-Learn, Streamlit, and Flask.
The system utilizes trained ensemble classifiers (Random Forest & SVM) to predict multiple health conditions based on patient biometric parameters.
Includes pre-trained ML models (.pkl), clean datasets (.csv), interactive UI source code, and step-by-step model training Jupyter notebooks.

⚡ Key Features & Capabilities

3 Machine Learning Disease Diagnostic Models (Heart, Diabetes, Parkinson's)

High Prediction Accuracy

Interactive Clean Web Dashboard (Streamlit & Flask)

Pre-trained Model Binaries (.pkl files included)

Full Kaggle Benchmark Datasets included

Model evaluation graphs and confusion matrices

Complete setup guide with virtual environment commands

How to Run After Downloading

Extract the downloaded ai-powered-multiple-disease-prediction-health-diagnostic-system.zip archive and open a terminal in the project folder.
Create and activate a Python 3.11+ virtual environment (python -m venv venv, then venv\Scripts\activate on Windows or source venv/bin/activate on macOS/Linux).
Install the required Python dependencies (scikit-learn, pandas, numpy, streamlit, flask) via pip install -r requirements.txt.
Verify that the included .csv datasets and .pkl model files are in place, then launch the web interface with streamlit run app.py (or python flask_app.py).

COMPLETE PROJECT PACKAGE

₹599.00 ONE-TIME FEE

Instant Secure Access

Buy & Download Now (₹599)

Git Download Option Paid Only

Direct Git repository access (clone URL & GitHub repository) will be activated once payment is approved by admin.

Razorpay online payment or manual UPI QR code transfer.

Live Demo Preview ↗

Category: Python & AI / Data Science

Format: .ZIP (Python Source Code + .CSV Datasets & .PKL Models)

Git Repository: 🔒 Active When Paid

Total Downloads: 28

License: Educational & Personal Use

Support: WhatsApp / Email Support

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Rashesh Rehi EdTech

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