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I am Kanakaprabha S, a PhD candidate in Artificial Intelligence with a focus on medical imaging, intelligent diagnostic systems, and multimodal learning. I am eager to collaborate on healthcare AI projects that advance image analysis and clinical decision support. My work spans generative AI for early disease detection, edge AI for telehealth, and multidisciplinary approaches in medical data. I enjoy cross-disciplinary collaboration and exploring AI innovations in real-world medical contexts.…I am Kanakaprabha S, a PhD candidate in Artificial Intelligence with a focus on medical imaging, intelligent diagnostic systems, and multimodal learning. I am eager to collaborate on healthcare AI projects that advance image analysis and clinical decision support. My work spans generative AI for early disease detection, edge AI for telehealth, and multidisciplinary approaches in medical data. I enjoy cross-disciplinary collaboration and exploring AI innovations in real-world medical contexts.

Kanakaprabha S

Data Scientist, AI Engineer, AI Developer, +2

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I am Kanakaprabha S, a PhD candidate in Artificial Intelligence with a focus on medical imaging, intelligent diagnostic systems, and multimodal learning. I am eager to collaborate on healthcare AI projects that advance image analysis and clinical decision support. My work spans generative AI for early disease detection, edge AI for telehealth, and multidisciplinary approaches in medical data. I enjoy cross-disciplinary collaboration and exploring AI innovations in real-world medical contexts.…I am Kanakaprabha S, a PhD candidate in Artificial Intelligence with a focus on medical imaging, intelligent diagnostic systems, and multimodal learning. I am eager to collaborate on healthcare AI projects that advance image analysis and clinical decision support. My work spans generative AI for early disease detection, edge AI for telehealth, and multidisciplinary approaches in medical data. I enjoy cross-disciplinary collaboration and exploring AI innovations in real-world medical contexts.

Available to hire

I am Kanakaprabha S, a PhD candidate in Artificial Intelligence with a focus on medical imaging, intelligent diagnostic systems, and multimodal learning. I am eager to collaborate on healthcare AI projects that advance image analysis and clinical decision support.

My work spans generative AI for early disease detection, edge AI for telehealth, and multidisciplinary approaches in medical data. I enjoy cross-disciplinary collaboration and exploring AI innovations in real-world medical contexts.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Advanced

Work Experience

Generative AI for Early Disease Detection at Independent / Academic Project

May 1, 2025 - Present

Developed AI models to predict and detect diseases at early stages. Applied generative techniques to enhance diagnostic accuracy and insights.

IoT & Edge AI for Telehealth at Independent / Academic Project

October 1, 2024 - April 25, 2025

Built an IoT and Edge-AI system for real-time remote diagnosis. Processed health-sensor data on edge and cloud for personalized telehealth.

Mouse Cursor Controlled by Eye Movement for Individuals with Disabilities at Independent / Academic Project

July 1, 2022 - May 1, 2023

Built an eye-tracking system to move the mouse. Enabled real-time control using Python and OpenCV.

Parkinson Disease Detection Using ML at Independent / Academic Project

August 1, 2021 - May 1, 2022

Used ML algorithms to detect Parkinson’s from clinical/voice data. Compared model performance.

Diabetic Retinopathy Detection using DL Model at ASE — Major Academic Project

January 1, 2021 - July 1, 2021

Built and preprocessed retinal fundus image dataset for training deep learning models. Trained CNN models for accurate detection of diabetic retinopathy and visualized results.

Deep Learning-based COVID-19 & Pneumonia Detection from Chest X-Rays at ASE — Minor Academic Project

July 1, 2020 - December 1, 2020

Built and preprocessed a dataset of chest X-ray images for COVID-19, pneumonia, and normal cases. Training a CNN model with TensorFlow for classification. Evaluated and visualized model performance.

Identifying Hidden Correlation over Fusion Technology Applied in Wireless Sensor Environment at NIET — Final Year Project

September 1, 2017 - February 1, 2018

Implemented data fusion techniques to enhance accuracy and reduce redundancy in sensor readings. Developed simulation scripts for performance evaluation using Python and MATLAB. Visualized sensor network correlations and fusion results through interactive dashboards.