Make Recipe (Android Application Based on Computer Vision)

Project Title

Make Recipe (Android Application Based on Computer Vision)

Project Area of Specialization Software EngineeringProject Summary

As we know, we are in the 21st century that is also called a revolutionary century in technological aspects. If someone at home and wants to cook any dish without knowing how to cook and don't know which ingredient is used for what purpose or how can a recipe will be made by ingredients that are available. we are going to purpose a mobile application that helps peoples to make different recipes. The purposed system carries out "Image Classification" on food ingredients in a real-time way. End-user just point a camera on some ingredients it will show possible recipes based on this input on real-time view. Our proposed system will show the results on the basis of ingredients and recipes names. End-user can also provide or select ingredients our purposed system will show recipes that will be done by these ingredients. A user can also search a recipe by name our proposed system will provide the list of ingredients that are used. With all these outputs our proposed system also guides the end-users for how to make the recipe. Our proposed system also provides nutrition information for every recipe that is based on ingredients. This system is very helpful for those how don't know how to cook and which ingredients are used for what purpose and how recipes are made by ingredients and also gets the information about nutrients in a recipe that are very helpful for maintaining good health.

Project Objectives

To design and develop a proposed system for those who want to cook and explore new recipes with the help advance and smart features that will help any user to make recipes from start to end with easy and understandable guidance.  Use of Computer Vision will enhance our purposed system in ease of use for the end-user.

Project Implementation Method

As we know, many process models are used in the industry. However, according to the nature of our project, we use the Waterfall Model in which requirements are specified and no need to change with time. Similarly, one phase is completed we move towards another phase.

Benefits of the Project

•Anyone can cook.

•Provide enhance features for users to recognize and get information about ingredients.

•Apply balanced approach for recipes cooking. Like, provide information about total serving that is based on total ingredients. Provide nutrition information about any recipe.

•Introduce advance features to provide ease of use.

•Implement Computer Vision Approaches that will enhance the scope and provide awesome features which will grab end-users towards the proposed system and take benefits.

Technical Details of Final Deliverable

Our system can suggest recipes based on previous searches and interests. This system also provides many smart features like share any recipes with friends on social media networks, explore seasonal recipes, Check the top-rated recipe and their nutrition information. The UI (User Interface) of our proposed system is interactive with the smooth layout. We may use material UI (User Interface) that are more advance and provide smooth experience and ease of use for end-user. In our project, we may use Tensor Flow lite which is an open-source deep learning framework that will help us to implements the "Image Classification" and we may also go with Firebase ML (Machine Learning) Kit which is a mobile SDK for android to integrate machine learning models with android mobiles.

Final Deliverable of the Project Software SystemCore Industry FoodOther IndustriesCore Technology Artificial Intelligence(AI)Other Technologies OthersSustainable Development Goals Good Health and Well-Being for PeopleRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	51406
Recipe - Food – Nutrition API	Equipment	1	35906	35906
Firebase Authentication Cross 10K User	Equipment	1	8500	8500
Firebase Real-time Database Cross 10 GB	Equipment	1	7000	7000