The project involved developing a script to analyze data within a Google Sheets workbook, specifically focusing on employee leave records, and automatically parsing relevant information to create corresponding events in Google Calendar. The script aims to streamline the process of managing employee leave schedules by automating the generation of calendar events based on the data provided in the spreadsheet.

An interactive platform designed to engage users in a fun and educational activity centered around mental health and human-AI interaction. The application features a curated database of questions related to mental health, well-being, relationships, personal development, and more. Each question in the database is answered by both Dan Ariely - an author and psychologist and ChatGPT, an AI-powered language model. Every day, a random question from the database is selected and posted on the website for users to engage with. Users are presented with two answers to the selected question—one from the human psychologist and the other from ChatGPT. The goal for users is to guess which answer comes from each source: the human psychologist or the AI. After reading both answers, users are prompted to indicate which response they prefer or find most insightful. This process encourages users to reflect on their own perceptions and preferences regarding human and AI responses to various questions.

NeoLife is a web application designed to provide users with an in-depth analysis of their overall health and well-being. The application employs cutting-edge technology to gather extensive information from users, including lifestyle factors, medical history, dietary habits, physical activity levels, and familial health background. Additionally, users are prompted to upload their recent blood test results, which encompass a wide range of biomarkers crucial for assessing health status. Furthermore, the application integrates DNA analysis, enabling users to gain insights into their genetic predispositions related to various health conditions.

The side project involved developing a script to facilitate the organization of football games by automatically matching 12 players into teams of 6 based on their individual ratings stored in a Google Sheets workbook. The objective was to generate different combinations of teams that are well-balanced in terms of player ratings, ensuring fair and competitive matches.

The project involved the development of a robust API for a web application designed for a local university's online marketplace. The application serves as a platform for users within the university community to post advertisements for items they wish to sell, interact with posted ads, exchange messages, and make bids on listed items. The primary objective was to create an intuitive and efficient backend system to facilitate seamless communication and interaction between users and their listings.