Seasons Of Code

Food Recommendation through Machine Learning    • Anuj Agrawal   

WnCC - Seasons of Code

Seasons of Code is a programme launched by WnCC along the lines of the Google Summer of Code. It provides one with an opprtunity to learn and participate in a variety of interesting projects under the mentorship of the very best in our institute.


List of Running Projects

Food Recommendation through Machine Learning

Food Recommendation through Machine Learning

The project has two parts: The front-end is an Android app/website that provides an interface to choose food recipes and create schedules. The back-end will be a Django server that provides personalized recommendations through machine learning.

Tentative Project Timeline

Week Number Tasks to be Completed
Week 1 Setting up the Environment and learning the basics of each platform
Week 2-3 Basics of languages used in individual languages (App - Java/Kotlin; Website - JavaScript/CSS/HTML; Server - Python)
Week 4-5 Create a basic working prototype of individual platforms (App/Website - creating a simple app with list views and basic UI; Server - Creating an API with GET/POST requests)
Week 6-7 Creating a basic infrastructure of the individual platforms for the project. Learning Machine Learning basics
Week 8-9 Implementing individual features, Implementation and testing of models
Week 10-12 Improve code structure/ Improve aesthetics of the app/ Buffer Time
Week 13 Writing Blogs sharing experiences etc.