Projects

MOF H₂ Storage Predictor: A Deep Learning–Driven Hydrogen Storage Prediction Tool

MOF H₂ Storage Predictor is a machine-learning–based tool designed to predict hydrogen storage capacity in metal–organic frameworks (MOFs).

MOFDB: Machine Learning–Ready Datasets for MOF Research

MOFDB is a curated database that provides machine learning–ready datasets for metal–organic framework research, integrating multiple data sources to support model training and large-scale materials screening.

SideCli — Auto-hide Sidebar Terminal for macOS

SideCli is a command-line tool built for a sidebar workflow, with edge auto-hide, instant pop-out, native shortcuts, and a minimal footprint.

c2d — Chat to Dataset

A multi-agent AI system for natural language data analysis. Upload a CSV or Excel file, ask questions in natural language, and get SQL queries, interactive charts, statistical tests, and a written report — all generated automatically.

Literal.cc — find supporting literature tool

Literal is an AI-powered tool for finding supporting literature for academic claims. Paste a sentence from your paper, and Literal searches Semantic Scholar's corpus of over 233M papers to retrieve and cross-check relevant supporting evidence through a multi-stage retrieval pipeline.