Nanocellum — Growth Condition Optimization

IoT sensor pipeline and analytics dashboard to identify optimal growth conditions for bacterial nanocellulose sheets — targeting consistent structure, maximum thickness, and sub-7-day yield.

Designed and built a custom IoT sensor network (pH, dissolved oxygen, light) logging to SQL every 10 minutes across bacterial cellulose growth cycles. Combined with manually recorded nutrient intake data (fructose, sucrose, glucose), an automated ETL pipeline cleaned and structured the two data sources into a Streamlit dashboard — enabling systematic comparison of growth conditions to pinpoint what produced thick, defect-free nanocellulose sheets within 7 days or less.