Diet Recommendation System using Machine Learning Android App
A food recommendation engine is an important tool for promoting healthy eating habits. This type of engine uses information about nutriential content and ingredients of foods to make recommendations to user. The Project frontend is made with Django. Django is a open source framework in python language. It helps to create websites for machine learning and data science.In automatic diet recommendation project user can fill information about age, weight, height and get diet recommendation based on his information.
This is Diet Recommender Chatbot, it will take user parameters and based on user inputs it will create diet and tell how much calorie you should consume and what are the calories you will consume from diet. User Interface developed in Django, Python. Body Mass Index Calculator in which you have to gave input of Weight and Height and it gave BMI Result. This is the Automatic Diet Recommendation System, which is recommending through machine learning algorithm, so you have to provide basic information like age, height, weight, gender and Meals per day then model will predict and give basic information that how many calories to consume each day to maintain, lose or gain weight at chosen rate that it will predict recipes of Breakfast, Morning Snack, Lunch, Dinner, etc.
– User’s basic health details (age, weight, height, lifestyle, etc.).
– Symptoms for disease prediction.
– ML model will analyze the symptoms and predict possible diseases.
– BMI score and user’s lifestyle habits will be assessed.
– A diet plan will be generated using ML and OpenAI API.
– Users will receive preventive healthcare suggestions.
Food Diet Recommendation Android App
Software Requirements :-
- Coding Language : Python
- Implementation: Software Framework.
- Operating system : Windows 10 / 11.
- Graphical User Interface : Tkinter
Hardware Requirement:-
- Input Devices : Keyboard, Mouse.
- System : Pentium i3 Processor.
- Hard Disk : 500 GB.
- RAM : 4 GB.
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