IBMealz

Overview

IBMealz is a meal planning tool designed for individuals with specific dietary needs, utilizing local produce to create personalized meal plans.

Features

• Location-Based Meal Planning: Utilizes user location to suggest meals with locally-sourced ingredients.
• Dietary Customization: Accommodates various dietary restrictions, including Halal and vegetarian options.
• Machine Learning: Employs a machine-learning model to curate a tailored list of meal options.

Development

• User Interface: Simple and intuitive UI for inputting meal preferences.
• Machine Learning Integration: Backend script processes user data through a machine-learning model.
• Meal Ranking: Outputs a ranked selection of meal recommendations for the user.

Challenges

• Initial difficulties with IBM Z systems integration, later resolved for smooth API interaction.

Achievements

• Successful creation of a helpful tool for individuals with dietary restrictions.

Future Directions

• Further development and refinement of IBMealz features and user experience.

Built With

• javascript
• pandas
• python
• react
• scikit-learn