Academia

Research & Education.

Think Big Scholar at the University of Bristol. MSc Data Science with Distinction. IEEE-published researcher with a granted Machine Learning patent.

1 Publications
1 Patents

Education

Academic foundations

University of Bristol

Master of Science (MSc) · Data Science

2020 – 2021First Class with Distinction

Thesis: MedFetch: Converting Unstructured EMR data to Structured data

Large Scale Data EngineeringVisual AnalyticsText Analytics (NLP)Software Development: Programming and AlgorithmsIntroduction to Artificial Intelligence

SRM Institute of Science and Technology

Bachelor of Technology (BTech) · Electronics and Communication Engineering

2016 – 2020First Class with Distinction

Thesis: Smart Glass: Real-Time Leaf Disease Detection using YOLO Transfer Learning

Digitial Signal ProcessingDigital SystemsCommunication SystemsVery Large Scale Integration (VLSI) DesignLinear Integrated Circuits

Publications

Smart Glass: Real-Time Leaf Disease Detection using YOLO Transfer Learning

Amrith Coumaran, Akhash Subramanian Shunmuam, Kritin Rajaram, Sanoj Senthilvelavan

Chennai2020Conference

A wearable smart glass powered by YOLOv3 transfer learning, capable of classifying plant leaves as healthy or unhealthy in real-time. Designed to bring accurate, GPU-free machine learning to the field — making portable, on-the-go disease detection a reality for researchers and farmers alike.

DOI

Patents

A Wearable System for Real-Time Plant Disease Detection

Granted
IN 564969Filed 2020-09-24India

Co-inventors: Amrith Coumaran, Akhash Subramanian Shunmugam, Kritin Rajaram, Sanoj Senthilvelavan

A smart eyewear paired with a local host for real-time plant disease detection. The eyewear captures a live image feed and streams it to the local host, which pre-processes the images and runs them through a machine learning algorithm against an optimized plant disease repository — delivering the results back to the eyewear's display instantly.