HassanMahmoodKhan

A-Data-Driven-Analysis-of-Global-Income-Distribution

This project aims to predict the income bracket of individuals based on a variety of features, and presents a holistic comparative analysis between multiple machine learning algorithms through hyperparameter optimization on a binary classification problem.

Data-Professional-Survey-Insights-Visualizing-Trends-and-Analysis-with-Power-BI

With advanced modeling and visualization techniques, an analytical examination is conducted on a survey comprising candidate feedback across professional occupations. The goal is to unearth pivotal insights through a Power BI dashboard..

Efficient-Brain-Tumor-Detection-for-Early-Intervention

Deep convolutional neural networks for brain tumor detection leveraging transfer learning and optimization through fully convolutional neural networks.

Empowering-Business-Insights-Revenue-Analysis-in-Sports-Manufacturing

Comprehensive revenue analysis using MS Power BI, offering a centralized space for an insightful dashboard, data visualizations, and analytics for informed decison-making.

Energy-Consumption-Forecasting

Hourly energy consumption forecasting using time-series analysis across multiple US states.

Fat-Tree-Data-Center-Topology

A python based data center topology. The project aims to present a comprehensive analysis of the Fat tree topology's performance using Mininet simulator.

Machine-Learning-Based-Fault-Diagnosis-of-Electric-Drives

Fault diagnosis of some critical and non-critical faults in electric drives using anomaly detection.

SMAT

[WACV'24] Separable Self and Mixed Attention Transformers for Efficient Object Tracking

Strawberry-Variety-Identification

Employs a CNN-based multi-class strawberry variety classification. The predicted label is then used to feed a LLM for information retrieval on that particular strawberry. The entire codebase is shipped as an intuitive web application.

Urban-Sound-Classification-using-Convolutional-Neural-Networks

Application of a convolutional neural network (CNN) to accurately classify urban sounds in a bid to increase pedestrian safety using the UrbanSound8k dataset.

HassanMahmoodKhan/Machine-Learning-Based-Fault-Diagnosis-of-Electric-Drives

Fault diagnosis of some critical and non-critical faults in electric drives using anomaly detection.

HassanMahmoodKhan/Fat-Tree-Data-Center-Topology

A python based data center topology. The project aims to present a comprehensive analysis of the Fat tree topology's performance using Mininet simulator.

HassanMahmoodKhan/Efficient-Brain-Tumor-Detection-for-Early-Intervention

Deep convolutional neural networks for brain tumor detection leveraging transfer learning and optimization through fully convolutional neural networks.

HassanMahmoodKhan/Urban-Sound-Classification-using-Convolutional-Neural-Networks

Application of a convolutional neural network (CNN) to accurately classify urban sounds in a bid to increase pedestrian safety using the UrbanSound8k dataset.

HassanMahmoodKhan/A-Data-Driven-Analysis-of-Global-Income-Distribution

This project aims to predict the income bracket of individuals based on a variety of features, and presents a holistic comparative analysis between multiple machine learning algorithms through hyperparameter optimization on a binary classification problem.

HassanMahmoodKhan/Data-Professional-Survey-Insights-Visualizing-Trends-and-Analysis-with-Power-BI

With advanced modeling and visualization techniques, an analytical examination is conducted on a survey comprising candidate feedback across professional occupations. The goal is to unearth pivotal insights through a Power BI dashboard..

HassanMahmoodKhan/Empowering-Business-Insights-Revenue-Analysis-in-Sports-Manufacturing

Comprehensive revenue analysis using MS Power BI, offering a centralized space for an insightful dashboard, data visualizations, and analytics for informed decison-making.

HassanMahmoodKhan/Energy-Consumption-Forecasting

Hourly energy consumption forecasting using time-series analysis across multiple US states.

HassanMahmoodKhan/SMAT

[WACV'24] Separable Self and Mixed Attention Transformers for Efficient Object Tracking

HassanMahmoodKhan/Strawberry-Variety-Identification

Employs a CNN-based multi-class strawberry variety classification. The predicted label is then used to feed a LLM for information retrieval on that particular strawberry. The entire codebase is shipped as an intuitive web application.

HassanMahmoodKhan/Unveiling-Hidden-Patterns-in-Credit-Card-Usage

Performing targeted marketing and customized services for credit card customers by employing customer segmentation with clustering analysis.

HassanMahmoodKhan/HassanMahmoodKhan

HassanMahmoodKhan/Remote-Health-Monitoring-With-IoT

An IoT architecture that integrates health sensors, embedded devices, with the lightweight MQTT communication protocol to perform patient health anomaly detection using machine learning and data analytics.

HassanMahmoodKhan/Semantic-Segmentation-with-U-Net

Fully convolutional neural network for semantic segmentation of pet images.

HassanMahmoodKhan/Web-Development-Project

Inter-train Ticketing System. A user-friendly website designed to ensure ease of access for passengers looking for a holiday get-away, business trip.