3rd prize. Developed an app that uses deep learning to predict real time glucose lvl(based on data which IRL comes from special sensors, but it was emulated in real time using a server and statistics). Then used a convex optimization library to minimize a mathematical function, which models the needed dose of insulin based on glucose. It also contains a ML algorithm to predict probability of diabetes

Developed a simple fitness app using AI recommendations

almost ~1st quarter in data structs and algorithms probe

Bronze award at algorithmic contest held by Nokia.

MedMe is an innovative healthcare app from a hackathon, using data analytics and AI for medical insights and clinic appointments. It identifies conditions like diabetes using various parameters (hem, MCV, MCH, WBC etc) via a random forest model. Patients can find issues and book clinics; clinics can accept appointments. With ChatGPT, it matches symptoms to departments (e.g. Cardiology, Neurology). MedMe enhances healthcare access and efficiency, ensuring timely medical intervention. I was the backend developer of the team.

Qualified at national phase. Me & my team created a web app called INFO TODAY, use for simplifying interactions between student & teacher. Its main feature is a real time shared coding env and editor using scoket.io

1st prize

Mention and almost in 1st half

~1900/30k in qualification round

2nd place on edu section

Place 58/420 on web online(global)

Passed qualification round

Scored 165/300 and ~80th on country

33rd place out of 400 at a algorithmic contest held by Romano-American University

Participation in teams probe

Top 10 at county phase

Qualified at county phase

Participated in national phase

scored 15/28

Qualified on county phase and obtained top 5 award