Submission information
Submission Number: 210
Submission ID: 5982
Submission UUID: 3a4e840a-361e-4965-9a31-34cc2fd5fdf8
Submission URI: /form/project
Created: Tue, 01/27/2026 - 13:30
Completed: Tue, 01/27/2026 - 13:30
Changed: Tue, 01/27/2026 - 13:30
Remote IP address: 144.80.185.70
Submitted by: SOUNDARARAJAN EZEKIEL
Language: English
Is draft: No
Webform: Project
| Received Sent | 0 |
|---|---|
| Accept and Publish Sent | 0 |
| Project Title | Classification, Detection and detection using Machine Learning |
| Program | PA Science |
| Project Leader | SOUNDARARAJAN EZEKIEL |
| SEZEKIEL@IUP.EDU | |
| Mentor(s) | |
| Student-facilitator(s) | |
| Mentee(s) | |
| Project Description | Image classification is a fundamental problem in computer vision with applications spanning healthcare, security, agriculture, and autonomous systems. This project focuses on the design and implementation of an image classification system using machine learning techniques. The proposed system utilizes a Convolutional Neural Network (CNN) and Vision Transformation algorithms to automatically learn and extract relevant features from input images and classify them into predefined categories. The model is trained on a labeled image dataset, where preprocessing techniques such as image resizing and normalization are applied to improve learning efficiency and accuracy. The performance of the model is evaluated using standard metrics such as accuracy and validation loss. Experimental results demonstrate that the system is capable of effectively distinguishing between different image classes, highlighting the effectiveness of deep learning approaches for image classification tasks. This project provides a scalable and efficient framework that can be extended to more complex datasets and real-world applications. |
| Project Deliverables | |
| Project Deliverables | |
| Student Research Computing Facilitator Profile | |
| Mentee Research Computing Profile | |
| Student Facilitator Programming Skill Level | |
| Mentee Programming Skill Level | |
| Project Institution | |
| Project Address | |
| Anchor Institution | |
| Preferred Start Date | |
| Start as soon as possible. | No |
| Project Urgency | Already behind3Start date is flexible |
| Expected Project Duration (in months) | |
| Launch Presentation | |
| Launch Presentation Date | |
| Wrap Presentation | |
| Wrap Presentation Date | |
| Project Milestones | |
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| What will the student learn? | |
| What will the mentee learn? | |
| What will the Cyberteam program learn from this project? | |
| HPC resources needed to complete this project? | |
| Notes | |
| What is the impact on the development of the principal discipline(s) of the project? | |
| What is the impact on other disciplines? | |
| Is there an impact physical resources that form infrastructure? | |
| Is there an impact on the development of human resources for research computing? | |
| Is there an impact on institutional resources that form infrastructure? | |
| Is there an impact on information resources that form infrastructure? | |
| Is there an impact on technology transfer? | |
| Is there an impact on society beyond science and technology? | |
| Lessons Learned | |
| Overall results |