Asir Ahbab Raiyan

A heart disease prediction system powered by Machine Learning that analyzes patient health data to estimate cardiovascular risk. The project aims to assist early diagnosis and awareness, featured for Bangladesh.

Learning to develop personal portfolios

A smartphone app aiming to help the farmers & officials related to agriculture of the country.

Advance Agro 2.0 is a mobile application based on Flutter and Firebase that allows tracking of agricultural conditions. This mobile application generates sensor data on simulation basis as well as weather data to provide field condition reports.

A machine learning-based system for predicting diabetes risk using clinical data, designed to support early detection and preventive healthcare in Bangladesh.

Learning the fundamentals of Networking devices and simulating network topologies in various ways.

A smart application for attendance management of employees in a corporate office.

It is a Python-based tool that reads .txt chat logs between a user and an AI, parses the conversation, and produces a simple summary including message counts and frequently used keywords.

A smart app for scheduling routine tasks.