✨[FEATURE] Diabetes Prediction using Naive Bayes (ML)

[AnanteshG]

🌟 Feature Overview

This feature implements a Diabetes Prediction system using the Naive Bayes algorithm in machine learning. The system will take various health metrics as input (such as glucose level, blood pressure, BMI, age, etc.) and predict whether a person is likely to have diabetes based on the model trained on historical data.

🤔 Why this feature?

• Healthcare Assistance: Early diabetes prediction is crucial for taking preventive measures, and this feature can assist medical professionals and individuals in assessing their risk.
• Efficiency: Naive Bayes is a lightweight algorithm that performs well for classification tasks, making it suitable for real-time applications with minimal processing overhead.
• User Empowerment: This feature empowers users to self-check their diabetes risk, leading to greater health awareness and lifestyle adjustments.

📋 Expected Behavior

• Input: The user will input health metrics such as glucose level, blood pressure, skin thickness, insulin level, BMI, and age through a user-friendly interface.
• Output: The system will provide a probability score along with a prediction of either "Diabetes Detected" or "No Diabetes Detected". It may also display a confidence level to indicate the model's certainty.

🖼️ Example/Mockups