Yuktha C Karkera
Data Analyst | Lecturer | Machine Learning Enthusiast
Data Analyst | Lecturer | Machine Learning Enthusiast
Iām a passionate postgraduate in Computer Applications, excited to turn raw data into meaningful insights. My background in machine learning and statistics helps me develop solutions that improve efficiency and decision-making.
Designed and developed a machine learning system to classify cough sounds into various disease categories, including asthma, croup, pneumonia, LRTI, URTI, and normal.
š **Tech Stack**: Python, MobileNetV2, MFCC, Empirical Mode Decomposition (EMD)
š Achieved 70% accuracy using a lightweight CNN model (MobileNetV2) trained on MFCC images extracted from audio data.
šÆ Purpose: To explore AI-based non-invasive techniques for early disease screening via cough analysis. This project contributes to affordable digital healthcare solutions, especially in rural areas.
Built a computer vision model to identify five common diseases in coconut leaves: caterpillar damage, drying of leaflets, flaccidity, leaflet bending, and yellowing.
š **Tech Stack**: Python, Deep Learning, CNN, OpenCV
š· Captured and processed images of infected leaves, applied image pre-processing techniques, and trained a CNN classifier to predict the type of disease.
š Purpose: To empower farmers with an easy-to-use mobile tool for early detection and treatment of crop diseases, enhancing agricultural productivity.
Email: yukthakarkera90@gmail.com
Phone: 8971545939
LinkedIn: linkedin.com/in/yuktha-c-karkera