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1. Smart_Trashcan_Recognition_Program Smart_Trashcan_Recognition_Program Public

   PyTorch-based waste classification system using a ResNet-18 model, achieving ~95% accuracy and developed as part of a recycling-focused startup project for Wharton Startup & Innovations Camp.

   Python

2. Investment_Program_MVP Investment_Program_MVP Public

   MVP ESG-based development funding allocation prototype built with International Finance Corporation (World Bank Group).

   Python

3. River_Ensembles_2019_2024_X1_X4 River_Ensembles_2019_2024_X1_X4 Public

   Patent-pending ensemble machine-learning pipeline predicting industrial pollution using four aquatic and demographic variables across 44 rivers (2019-2024).

   Python

4. Initial_Han_Danube_ML_Models Initial_Han_Danube_ML_Models Public

   Initial machine-learning models evaluating relationships between atmospheric and aquatic pollution indicators using Han-Danube river datasets.

   Python

5. Offline_Poomsae_Trainer Offline_Poomsae_Trainer Public

   Offline computer-vision Taekwondo poomsae trainer that evaluates 14 core movements using OpenMMLab’s MMPose and a Gradio-based interface.

   Python 1

6. Online_Poomsae_Trainer Online_Poomsae_Trainer Public

   Web-based computer-vision Taekwondo poomsae trainer evaluating 14 foundational movements using OpenMMLab MMPose and a Streamlit interface.