Introduction The Author Classifier project aims to classify authors based on the text they have written using advanced natural language processing techniques. Leveraging concepts from the Information Retrieval course, we built a dataset comprising a minimum of 35 books for each of
Read More
The mentioned program that reads a valid statement in the conditional language from the input and provides a proof for it in the Hilbert machine. This program is written in c++ language and to run it, you just need to build it
Read More
These projects cover diverse data analysis, machine learning, and practical applications, including blood donation analysis, maternal health risk prediction, speech disorder classification, facial recognition, and clustering analysis. You can see the project code along with the work report on GitHub. Assignment1 Project
Read More
This project, created as part of my basic programming course at Tehran University, is a Django-based web application designed to facilitate effective communication and resource sharing between teachers and students. It streamlines the educational process by offering two distinct user roles: Teacher:
Read More
This Django-based Housing Portal project was developed as part of a university course on software design. The project is a web application designed to provide users with a platform to find, manage, and share information about houses and apartments. It offers various
Read More
Overview This project is the result of my advanced programming course at University of Tehran, where I developed a multiplayer game in C++. The game offers real-time multiplayer action, allowing up to four players to join a room and navigate through a
Read More
Overview This project is the culmination of my advanced programming course at University of Tehran, where I ventured into the exciting world of game development using C++ and the SFML (Simple and Fast Multimedia Library). You can see the project code along
Read More
Homeworks of meta-heuristic algorithm course This collection includes implementations of several algorithms created from scratch, including Ant Colony Optimization (ACO), Genetic Algorithm (GA) for Traveling Salesman Problem (TSP), Memetic Algorithm, Multi-Layer Perceptron (MLP), Neural Network, Particle Swarm Optimization (PSO), Simulated Annealing, and
Read More
This project focuses on classifying grapevine leaves into five distinct classes using advanced techniques like transfer learning and autoencoders. By harnessing pre-trained models, we aim to enhance classification accuracy while exploring the effects of dimensionality reduction and data augmentation through image generation.
Read More
This project is presented in Jupyter Notebook format, providing visibility into the implementation of class definitions and algorithm training. You can observe the program’s execution by using the rl.play(True, True) command within the pygame environment. This command executes the program, irrespective of
Read More