Health-Risk-Prediction-Bot

🏥 Health-Risk-Prediction-Bot

An intelligent system that analyzes user health data and predicts potential risks using machine learning and predefined thresholds — capable of generating advice and reports based on symptoms and diagnostics.

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🩺 Overview

This bot uses a trained ML model to assess symptoms, daily intake, and user metrics to predict possible diseases and health risks. Additional modules simulate diagnostic behavior similar to real-world health consultations.

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📁 Folder Structure

File / Folder	Description
Main.py	Main app entry logic and routing
medicalreport.py	Generates medical-like reports
disease_model_tf.keras	Pre-trained ML model for disease prediction
disease_dataset.csv	Dataset used for training model
predict_diseases_with_advice.py	Predicts diseases with advice
dieseasetable.py	Static disease reference logic
dailyintakediet.py	Nutrition-based dietary logic
data.py, info.py, etc.	Helper modules
audio_output/	Output audio advice (if TTS used)
Person Calories Data/	Structured individual intake records
requirements.txt	Python dependencies
LICENSE	MIT License

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🧠 Core Concepts

• Medical Diagnosis Simulation
• Supervised Machine Learning
• Health Metric Tracking
• Automated Dietary Recommendations

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🚀 How to Run

pip install -r requirements.txt
python Main.py