Projects

Computer Vision for Detecting Potholes in Asphalt Roads in Real-Time using RC Car
Computer Vision for Detecting Potholes in Asphalt Roads in Real-Time using RC Car

Developed and trained a Convolutional Neural Network (CNN) based on the AlexNet architecture for real-time detection of potholes in asphalt roads, achieving 92.15% accuracy, 91.38% sensitivity, and an F-score of 96.52%. Optimized the model using high-performance GPUs for deployment in real-time systems.

May 1, 2024

Integrated CNN and Waterwheel Plant Algorithm for Enhanced Traffic Detection
Integrated CNN and Waterwheel Plant Algorithm for Enhanced Traffic Detection

Led a team in the design and implementation of a hybrid CNN and Waterwheel Plant Algorithm (WWPA) to detect and track vehicles in global traffic data, achieving a model accuracy of 97.28%.'

Jan 1, 2024

Deep Learning Models for Predicting Traffic Patterns in Smart Cities
Deep Learning Models for Predicting Traffic Patterns in Smart Cities

Applied various deep learning architectures to predict and analyze traffic patterns in urban environments, with AlexNet emerging as the best-performing model, achieving an accuracy of 93.18%.

Dec 1, 2023

Machine Learning for Oil Spill Detection via Satellite Imagery
Machine Learning for Oil Spill Detection via Satellite Imagery

Spearheaded the development of an oil spill detection system using Artificial Neural Networks (ANN), achieving 96.88% accuracy by classifying ocean satellite images.

Apr 1, 2023

Face Mask Detection Using MobileNetV2
Face Mask Detection Using MobileNetV2

Built a deep learning model using MobileNetV2 to detect face masks, a crucial tool for public safety during the COVID-19 pandemic. Achieved a 97.71% accuracy on the test dataset, demonstrating the model’s robustness and efficiency under varying conditions.

Mar 15, 2023

Enhancing Student Performance Prediction Using Greylag Goose Optimization
Enhancing Student Performance Prediction Using Greylag Goose Optimization

Led a team to implement the Greylag Goose Optimization (GGO) algorithm for enhancing a Multilayer Perceptron (MLP) Regressor, reducing Mean Squared Error (MSE) significantly.

Mar 1, 2023

Optimizing Student Performance Prediction Using Waterwheel Plant Algorithm
Optimizing Student Performance Prediction Using Waterwheel Plant Algorithm

Collaborated on developing a robust student performance prediction model by integrating the Binary Waterwheel Plant Algorithm (bWWPA) for feature selection, achieving a notable reduction in MSE.

Feb 1, 2023

Exploratory Data Analysis for Retail Sales Optimization
Exploratory Data Analysis for Retail Sales Optimization

Conducted exploratory data analysis (EDA) on a large retail dataset to identify key sales patterns, trends, and product performance metrics. Utilized Python libraries like Pandas, NumPy, Matplotlib, and Seaborn for comprehensive data visualization and insight generation.

Jan 1, 2023