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PROJECTS

Project Sphere

This full-stack application is designed to facilitate seamless collaboration among colleagues, allowing them to work together on various tasks and projects in a highly organized environment. Users can create, assign, and track tasks, while also prioritizing them based on urgency to ensure timely completion. The app integrates with Large Language Models (LLMs) to provide a more personalized and intelligent user experience, offering suggestions for task delegation, generating automated summaries, or even recommending resources based on the task at hand.

Foodilit

Created a flutter app that allows users to discover recipes based on a single ingredient of their choice, providing a simple and convenient way to explore new dishes. By utilizing REST APIs, the app fetches a list of recipes that use the selected ingredient, offering users detailed instructions, ingredient lists, and preparation steps. Additionally, the app features 3 random recipes that are displayed each time the app is opened, giving users a fresh selection of meal ideas with every visit.This app makes it easy for users to get creative in the kitchen with just a single ingredient.

Genetica

Developed a predictive health application designed to assess the risks of diabetes and lung cancer based on user inputs. By integrating machine learning models, the app analyzes factors such as lifestyle, family history, and other relevant health data to predict the likelihood of these conditions. In addition to risk prediction, the app provides personalized health recommendations, offering guidance on lifestyle changes and preventive measures. It also includes interactive goal-setting features, enabling users to set and track their health goals, empowering them to take proactive steps toward reducing health risks and improving their overall well-being.