Matin Monshizadeh's repositories
Image-Compression-Huffman-coding-technique
The algorithm design project contains Huffman coding, a lossless algorithm to reduce image file size.
Logic-Circuits-Lab-Project
The logic circuit lab project includes Calculator, a Clock, and a Name block and their implementation in proteus software.
Simon-Game
Implementation of a popular game called Simon Game using the jquery framework.
Smart-Home
Implementing and simulating a simple, smart home with three main objectives: Security, Temperature Control, and Lighting Control using ATMega32 microcontrollers and SPI protocol to transmit data from master to slave.
Diabetes-Predictor
A user-friendly desktop application that utilizes a logistic regression model to predict the probability of a user having diabetes based on their inputted information.
Guessing-Game
Making a simple game using Java programming language and JOptionPane library for GUI.
Monster-Slayer
Simple game using the Vue framework.
Pseudo-Instagram
Implementation of Pseudo Instagram with Java programming language and Using JOptionPane for GUI.
Signals-and-Systems-Project
This project includes six parts. The goal is to applying different filters to an audio signal.
Simple-Online-Shop
Implementation of a simple online shop using Java programing language.
The-Dicee-Game
Just refresh :)
Tic-Tac-Toe
Implementation of a tic-tac-toe game using the Jquery framework.
Voltmeter-0-30V
The Electric Circuits project implementation of a voltmeter to measure the voltage between 0 and 30 when the circuit is connected to the power supply.
3D-Mountain-Simulation-Predicting-Flood-Paths
This research simulates 3D terrain, predicts flood paths, and calculates water volume using real-world elevation data in Python.
Microprocessors-Lab
Working with Arduino involves performing various tasks, such as making an LED blink, working with a speaker, and completing a final project, which is a Door Control System.
Predicting-Mobile-Prices
Linear Algebra project that extracts data from an e-commerce site, cleans it, trains a linear regression model to predict mobile prices, and includes a Tkinter-based app for price prediction based on mobile features.