CAD for Brain Tumor Classification
We developed a customized deep learning based classification technique for automating 3,064 MRI Tumor images, resulting in a brain tumor diagnosis prediction accuracy of 98%.
I'm a First-year MSCS student studying Computer Science at the Fatima Jinnah University. Previously, I studied B.S. in Computer Science at the COMSATS University where I automated brain tumor MRI images through machine learning techniques. I love combining Computer Science and Design to create solutions that foster personal growth and benefit society.
I am seeking a full-time research assistantship position for Fall 2025 in labs with a focus at the intersection of Machine Learning, Informatics, Human Computer Interaction, , HCC, Human-Robotic Interaction, Interfaces also excites me. My interests are mainly in healthcare, interactive digital tools and emerging technologies (AR, VR, generative AI).
Earned 3.90 GPA in Fall 2024 Semester
Started research on Cancer and Chemotherapy with focus on NLP this Spring 2025
Here's a little about the projects that I worked on in the past.
We developed a customized deep learning based classification technique for automating 3,064 MRI Tumor images, resulting in a brain tumor diagnosis prediction accuracy of 98%.
Developed weed detection in agriculture using UAV imagery I've trained a model to accurately identify weeds in crop fields to help farmers reduce herbicide use, promote sustainability, and transform selective spraying through drones.
To empower young women in rural areas by addressing their career development needs I conducted user research through semi-structured surveys and interviews remotely with 18 young women in rural areas to understand their needs, challenges, and career aspirations. Currently building a platform to connect them and provide them career support.
Projects I've developed during various hackathon events.
A smart scheduling assistant designed to improve time management and productivity. Uses voice commands to schedule tasks and events.
Course Work: Machine learning & Neural Networks , Data Science, Advanced Theory of Computation Advanced Operating Systems, Theory of Programming Languages, Advanced Algorithm Analysis.
3.27/4.0 CGPA , Thesis Title: CAD for Brain Tumor Classification advised by Dr Sharif
Achievements