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SAYYADA SAHAR FATIMA
Aspiration Statement
“I want to pursue my post-graduate in Software Engineering. As a career, I am inclined towards technical research and development. I am particularly interested in web and mobile application development. I am also interested in artificial intelligence, deep learning and image processing. My other passions include cooking and travelling.”
Core Skills
- Rational Database Designing, Git
- AR apps and games in unity using vouforia support with deployment of platforms like Android, iOS, Linux etc.
- Front-End Development using HTML5.CSS3/ Bootstrap4.
- Web Development in Django and PHP using CodeIgniter
- Python
Academic Awards / Achievements
- HU TOPS 100% Scholarship
- President’s List - Fall 2019
- Dean’s List - Fall 2019
Experience
Leadership / Meta-curricular
- TCF Alumni Development Program On-Field Teaching Initiative
Internship / Volunteer Work
- Folio3 Software Inc - Intern
Publications / Creative Projects
- Data Repository: Developed a website using HTML5, CSS3 and Bootstrap for frontend, while Django2 which is a python framework for backend.
- Image Colorization: Used Artificial Neural Network to convert gray scale image into RGB.
- Sarwan’s Hotel Management System: Developed hotel management system in database’s course in which SQL Server was used for database design and development.
- 2D Game Development: Developed a 2D shooting game, for OOP’s final project. This game was developed in C++ using SDL 2.0.
Final Year Project
Project Title
InstaWeight - Autonomous Weight Estimation System of Cattle
Description
Worked on a project in a collaboration with Folio3 to estimate the weight of cattle through an autonomous process using deep learning and machine learning. It also involves the development of admin panel as web client and a mobile application to capture the images of cattle. The purpose of this project is to automate the process of estimating the weight of cattle. Since, weight is the most important factor in the Livestock business but keeping track of the weight on a daily basis is the most tedious task and requires a lot of manhandling and is time consuming. The project has three components, the core, mobile client and web client. The core component is responsible to detect the features of the animal from the image to estimate/predict the weight of the animal. This core component has been developed using machine learning and image processing algorithms. (Group Project)
Project Pictures
