A middleware to restrict browser access to Django APIs

A lightweight service for semi-automatic data annotation, combining model-assisted bounding box generation with manual correction for fast and reliable labeling.

This project is an early prototype developed by Team RadioSense, which achieved 1st place in the Startup Weekend of Isfahan University of Medical Sciences.

This project shows how to structure user actions as objects, maintain execution history, and manipulate a canvas efficiently.

The project uses a Vision Transformer (ViT) model to perform binary classification on graph images.

A robust web application leveraging Django Ninja for the backend and modern HTML, CSS, and JavaScript for the frontend, designed to deliver a sleek, intuitive management panel for efficiently overs…

A YOLO-based computer vision system for recognition of digits displayed on industrial 7-segment LED panels using camera input. Suitable for monitoring and logging digit values in factory environments.

Here I implemented the Build your own HTTP server task from codecrafters.

This project was developed as part of the FaceCup competition.

Predicting Compressive Strength with Machine Learning

The final project of Pytorch course of Iran University of Science and Technology

An attendance system implemented with the help of the Flet framework

This repository is a collection of my learning journey in data structures and algorithms.

This project is implemented in LECA company to register and identify car license plates on the weighing scale.

Challenge notebook of the first round of Iran's annual artificial intelligence competition

Image Captioning with Deep Learning

Cataract diagnosis project notebook using VGG16

Brain image classification with CNN

In this project, I tried to investigate the performance of artificial intelligence in disease diagnosis by explaining the patient's symptoms.

This project was one of the exercises of the IAAA training course

This project is the housing price prediction project in California, which is presented in the second chapter of the Hands-On Machine Learning book and teaches many tips.

This is part of an old project of mine that I wanted to share

This project was one of the challenges raised by Iran Mobile Communications Company (MCI) in the 7th artificial intelligence competition of Amirkabir University of Technology.