GUI for a Vocal Remover that uses Deep Neural Networks.

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Classifies products into custom categories (House, Gaming, Healthcare) using a Multi-Layer Perceptron (MLP) neural network trained on a small dataset.

Simulated First Come, First Served (FCFS) and Shortest Job First (SJF) Central Processing Unit (CPU) scheduling algorithms for performance evaluation.

Developed Information Retrieval (IR) system with Boolean and proximity queries, optimizing inverted index and postings lists.

Implemented polynomial regression with Ridge regularization and perceptron-based hyperplane classifiers.

Performed curve fitting using genetic and memetic algorithms with k-opt neighbor generation.

Classifies multilingual music tracks based on emotions using audio and lyric features with neural networks.

Fine-tuned ParsBERT for Persian text author classification with 5-fold cross-validation achieving F1 ~91.8.

Simulates student activities using a simplified Probabilistic Finite Automaton (PFA) model for recommender system studies.

Built Information Retrieval (IR) system with spelling correction and wildcard support using bigram indexing.

An interactive Python game hub where players choose between three mysterious doors, each leading to a random mini-game — including Snake, Tic-Tac-Toe, Rock-Paper-Scissors, Quoridor, or Flower-or-Ab…

Applied Particle Swarm Optimization (PSO) to find global maxima and minima of multivariable functions.

Applied Numerical Linear Algebra techniques to Voting Theory.

Solved Quadratic Assignment Problem (QAP) using Simulated Annealing (SA) with fine-tuned parameters.

Solved Quadratic Assignment Problem (QAP) using Particle Swarm Optimization (PSO) with fine-tuned parameters.

Applied K-Means, Mini Batch K-Means, Density-Based Spatial Clustering of Applications with Noise (DBSCAN), and Hierarchical Density-Based Spatial Clustering of Applications with Noise (HDBSCAN) on …

Extracted features with autoencoder and classified MNIST digits using Multi-Layer Perceptron (MLP) achieving ~60% accuracy.

Trained a Convolutional Neural Network (CNN) and fine-tuned VGG16 for handwritten digit recognition with over 80% accuracy.

Built a hybrid CNN-LSTM model to generate captions for Flickr images using pretrained ResNet18 and Word2Vec embeddings.

Developed perceptron from scratch to classify 2D datasets and visualize decision boundaries.

Implemented Backtracking Gradient Descent for nonlinear optimization with adjustable constants.

Applied quadratic regularization and solved the corresponding dual problem for signal denoising.

Solved constrained optimization problems using Gradient Projection method.

Verified a 4-state Deterministic Finite Automata (DFA) using multi McCulloch–Pitt neural networks.

Created a document ranking system with Boolean, probabilistic, and vector space models.

Constructed an inverted index using Block Sorted-Based Indexing (BSBI) and Elias Gamma encoding for efficient disk handling.

Trained and fine-tuned Decision Tree (DT) classifiers on Kaggle mushroom dataset using Grid and Randomized Search.

Compared K-Nearest Neighbor (KNN), Support Vector Machine (SVM), Naïve Bayes, and Multi-Layer Perceptron (MLP) for binary income classification using Principal Component Analysis (PCA) and Bayesian…