ADHIL ABDULLA

CSRBOX

Gained Data Analysis skills by learning courses curated by IBM Skillsbuild and built a Hunger Index Prediction model with team.

• Technology(s) Used: Data Science, Machine Learning, Python, Kaggle, Excel

Currently involved in the creation of a ME-ViT, a Single-Load Memory-Efficient FPGA Accelerator for Vision Transformers using FPGA, PYNQ-Z2, Vivado HLS and PyTorch for the efficient deployment of Vision Transformers on resource-constrained devices.

PyTorch · Vivado HLS · PYNQ Z2 · Vision Transformer

Developed a Non-Invasive Blood Glucometer using Near-Infrared (NIR) spectroscopy that measures glucose levels by analysing the absorption of near-infrared light by glucose molecules in the blood, providing a real-time and non-invasive method for glucose monitoring with the help of an app to display the blood glucose concentration using Firebase, ESP32s, IR LED, Photodiode, Machine Learning, FLUX AI and Fusion 360.

Arduino IDE · ESP32s · IR LED · Photo Diode · Machine Learning · Fusion 360

Contributed significantly to the development of Car Park Assist by using 8051 MC, Embedded C, Keil and Proteus Design Suite.

8051 MC · Embedded C · Keil · Proteus Design Suite