Mohammed Saabiq Saha

About Me

👋 My name is Saabiq. I am an international student at Grambling State University studying Computer Science. I’m on a journey to build the world’s largest reservoir of clean medical data and light-weight tools for disease diagnosis in remote areas. I have worked on a lot of projects ranging from Ai tools nasari.ai to marketplaces gsuhub for fellow students on my campus. I have some experiece in building RAG models and their deployment. Below are some tools I am comfortable working with.

data science

stacks I use for systems programming, software engineering, and data analysis.

web frontend

technologies I use for front-end web development and component design.

backend

tools I use for back-end web programming and database architecture.

communities

communitites and tools for version control, code editing, and container orchestration.

my founder portfolio

Nasari Farm

I founded nasari. This a platform built to support small scale farmers by giving them access to larger markets. The platform also gave landowners the opportunity to rent out their land annually to commercial farmers for a fee.

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Globin Suite

I started globin as part of my efforts to build tools for disease diagnosis in remote areas. Globin suite is a set of Ai models that are built to be lightweight to assist medical professionals in rural areas with the diagnosis of malaria and breast cancer.

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Rhizone

Rhizone is a project I co-founded to advance the UN's SDG 4, ensuring inclusive and quality learning opportunities for all. It connects students with peer tutors, real-time Q&A, and discussion forums to foster collaborative learning.

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Projects I worked on

Nasari Ai

I am developing a machine learning model to assist medical professionals in detecting brain tumors, using YOLOv8 as the base object detection model. This project allows me to refine my skills in data annotation, model training, and evaluation, aiming to enhance diagnostic accuracy and support healthcare professionals in early tumor detection.

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Grambling State hub (gsuhub)

I built a TensorFlow Keras model to classify diseases in maize plants from images, trained on a dataset of 2,500 images. The model is capable of detecting diseases such as Blight and Common Rust. This project has the potential to assist farmers in identifying and diagnosing plant diseases, ultimately helping them manage and mitigate crop issues more effectively.

visit website

Nasari Farm

I developed the Nasari website, a platform designed to facilitate seamless transactions and interactions for local farmers. The website features a user-friendly interface built with React and Tailwind CSS, including functionalities for secure user authentication, payment processing with Stripe, and an admin panel for managing market products and vendor listings. This project aims to improve market accessibility and streamline operations for local farmers.

Github Code