[Feature Request]: Fitness Prediction Model with suggestions

[J-B-Mugundh]

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Feature Description

This feature involves integrating a fitness prediction model that tracks user health data and provides personalized fitness suggestions. The model will analyze data such as physical activity levels, age, weight, heart rate, and other health metrics to predict the user's fitness progress over time.

Use Case

• Progress Tracking: The system will predict fitness outcomes based on the user's daily activities, providing insights into whether they are on track to meet their goals or need to make adjustments.
• Health Monitoring: The model can alert users if certain metrics (e.g., heart rate or BMI) are outside the healthy range and suggest corrective actions, such as more cardio exercise or adjustments to their diet.

Benefits

• Motivation and Accountability: By tracking progress and providing feedback, the model helps users stay motivated and accountable, improving the likelihood of achieving their fitness goals.
• Informed Decision-Making: With real-time fitness predictions and suggestions, users can make informed decisions about their workouts, diets, and overall lifestyle to maximize their health outcomes.

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Priority

High

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[jeevan10017]

@J-B-Mugundh go for it.

[J-B-Mugundh]

@jeevan10017 is flask backend fine along with react frontend for this or shall i make a streamlit app and deploy it and add over here as a section?