The swolfpy-processmodels module is responsible for calculating and reporting the LCI of the waste management processes.
A modular, closed-loop purification tower that transforms any waste—solid, liquid, or gas—into clean air and usable byproducts using existing science and open-source intelligence. No patents. No permission. Just breath.
A machine learning framework that predicts biogas yield from organic waste by integrating biochemical and thermodynamic principles — Monod kinetics, Arrhenius temperature dependence, and pH-activity relations — into a Gaussian Process Regression model, achieving R² of 0.968 with only 120 samples.
A large-scale integrated dairy and biogas project based on the Danish model, combining milk production, renewable energy generation, and organic fertilizer systems in a circular agro-energy platform.
Python-based feasibility studio for Thai renewable-energy plants - 5 engine types (WTE, RDF, RDF+WTE, Biogas, Solar PV) covering MSW chemistry, project finance (IRR/NPV/DSCR/LCOE/BCR), BOI tax cascade, T-VER carbon credits, and Monte Carlo/sensitivity analysis. Streamlit web UI.
Jaipur Robotics is a Manno, Switzerland based deep-tech company building advanced computer vision and deep learning solutions for the waste-to-energy sector. Its product, Jaipur Intelligence, applies patent-pending image recognition to plant bunkers and truck unloading bays to detect oversized and dangerous items, map the calorific value (LHV) of…
The Cycle-Somatic Box is a personal, experimental project designed to solve a critical challenge: achieving sustainable, continuous energy generation to support the Seigr Hub
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