Projects | Maaz Salman

Selected Repositories

Here are a selection of projects that I have worked on over the years.

YOLOv8 Real-Time Rat Detection and Tracking

YOLOv8 Real-Time Rat Detection and Tracking

This project uses a custom-trained YOLOv8 model to detect and track rats in video streams, compute the distance traveled, and generate visual analytics such as path plots and heatmaps.

Jul 15, 2025

STM32 Diversity Gain Engine Communication

STM32 Diversity Gain Engine Communication

This code implements a sophisticated signal processing system on an STM32 microcontroller, designed to optimize signal reception and communication through advanced combining techniques.

Jan 2, 2023

Explainable AI (XAI) Hybrid CNN-LSTM with Attention

Machine Learning, X-AI

Explainable AI (XAI) Hybrid CNN-LSTM with Attention

A machine learning project utilizing a hybrid CNN-LSTM architecture with an attention mechanism for explainable AI.

Jan 1, 2023

School Management System

Web Based Python Application

School Management System

The School Management System is a Django-based web application designed to streamline day-to-day academic administration. The project includes a simple, responsive static front-end, built with plain HTML, CSS and JavaScript, served from Django’s static/ directory.

Jan 2, 2022

STM32-VLC: Visible Light Communication Module

STM32, Embedded C, VLC

STM32-VLC: Visible Light Communication Module

Design and implementation of a VLC communication module to transmit data using the STM32 microcontroller platform.

Jan 2, 2022

Train-MobileNet for TinyML

Tiny ML, MobileNetV2

Train-MobileNet for TinyML

This code is a script for training an image classification model MobileNet using PyTorch. The code is structured to facilitate easy training, evaluation, and monitoring of a deep learning model for image classification.

Jan 2, 2022

Vision Transformer (ViT) Implementation for Spoofing Detection

Machine-Learning, ViT

Vision Transformer (ViT) Implementation for Spoofing Detection

This comprehensive code implements a deep learning solution for spoofing detection using a Vision Transformer (ViT) architecture. The system leverages transfer learning by fine-tuning a pre-trained ViT model for binary classification, distinguishing between genuine and spoofed images in a specialized security dataset.

Jan 2, 2022

Hybrid CNN-LSTM Model with Attention for Time Series Classification

CNN, LSTM, Spatial Attention

Hybrid CNN-LSTM Model with Attention for Time Series Classification

This documents the training and evaluation of a Hybrid CNN-LSTM Attention model for time series classification in a dataset. The model combines convolutional neural networks (CNNs) for feature extraction, long short-term memory (LSTM) networks for sequential modeling, and attention mechanisms to focus on important parts of the sequence.

Jan 1, 2022

Training pipeline of LSTM-CNN-RNN-MLP-InceptionTime

Training pipeline of LSTM-CNN-RNN-MLP-InceptionTime

Fundamental files to train and evaluate a simple LSTM, MLP, CNN, and RNN model which can be trained on a time-series dataset composed of n input features and m outputs classes.

Jan 1, 2022

Want to see more?

You can browse all of my source code, ongoing work, and raw scripts directly on my GitHub profile.

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