Developing a predictive model for the development of chronic disease based on lifestyle characteristics – examining the possibility of predicting the risk of developing chronic disease based on data such as nutrition, physical activity, and sleep habits. Dataset Size Minimum 5,000 records (preferably 10,000+) Required Features The dataset must include: Demographics: Age Gender Country BMI Lifestyle Factors: Daily calorie intake Fruit & vegetable intake Processed food consumption Physical activity (minutes per week) Sedentary time Sleep duration Sleep quality Smoking status Alcohol consumption Stress level Health Risk Indicators: Family history of chronic disease Chronic disease diagnosis (binary outcome) this is a data science project i want it to perfect and after finishing the project their is a presentation that i need no know every thing in the project i want the project be written in python language and prefer to be in google colab i also want a pdf that is contain a summary of the project i will take person that make the project in 3 or 4 days i will pay 50$