Artificial Intelligence (AI) in Food Science: Deep learning models for predicting and optimizing fermentation and enzyme processes; multi-output prediction; AI-guided design of experiments.
Computer Vision & Spectral Analytics: CNN, CNN-LSTM and 2D-CNN models for image-based analysis and FT-NIR spectroscopy-based adulteration detection; medical image segmentation (Ph.D.).
Full-Stack Web Development: Institutional MIS, portals and platforms built on PHP, MySQL and Apache.
IT Services & Governance: Network access, institutional IT workflows, ISO/EMS & ISO-QMS documentation.
Tools: Python (TensorFlow/Keras, scikit-learn, pandas), PHP, JavaScript, jQuery, Ajax, HTML, CSS, MySQL
Artificial Intelligence (AI) in Food Science and Technology, Institutional ERP application development, Digital platforms for farmers and MSMEs, Conference and event website development, and IT support services & their automation using AI