Meal-Planning

My BTech Term Project (BTP) at IIT Kharagpur

Refer to the BTP Report and my Final Presentation for details.

A compilation of the slides presented almost every week during the project: here

Required Libraries

Sklearn, scipy, Gensim, Numpy, Pandas, Networkx, Tqdm

How to Run

• Install the required libraries
• Update the config.json file. A standard one has been provided
• Run the main file python3 main.py

Code Structure

• main.py: The file that needs to be run. Loads the config from the config.json file.
• hyper_parameter_tuning.py: Contains code to perform a grid search for the best hyper-parameters for the GA
• testing.py: The code for testing the pipeline for a variety of constraints
• Configs: various configs that are used for testing the model for a variety of constraints and preferences.
• Data: Dataset files. For more details refere here
• Hybrid GA: Contains the code for Evolution according to Hybrid GA algorithm, the Hybrid GA Population maintatining separate lists for feasible and infeasible solutions and Utility files for Hybrid GA.
• NSGA: Contains the code for Evolution according to NSGA 2 algorithm, the standard GA population and utility files
• plan: Contains code for the meal planner. Details here
• Outputs Some output logs that contain suggested meal plans
• Prepro:
  • Contains code for preprocessing the dataset. The Data folder contains the preprocessed files