Impress your boss with interactive Decision Tree visualization
NeLux: High-performance video processing for Python, powered by FFmpeg and PyTorch. Ultra-fast video decoding directly to tensors.
Screw type detection using ESP-EYE, YOLOv5, and TensorFlow Lite Micro for real-time classification on ESP32.
This repository contains a collection of simple yet insightful Data Science projects that showcase my ability to apply analytical thinking, build ML models, and visualize results.
Decision Tree are the typically machine learning algotithm that are work on specific data and generate the tree with yes or no formate.
Open-sourced is_even function powered by LLM
Real-time cardiovascular risk prediction platform built with Next.js, Flask, and a robust ML pipeline.
AI/ML Engineer Portfolio | End-to-end projects (Customer Churn Streamlit, Credit Card Fraud Detection with XGBoost+Docker+SHAP, Japanese Sentiment Analysis with BERT) | Production-ready (Streamlit Cloud + Docker) | Targeting mid-level roles in Japan
morphogenetic language systems
End-to-end ML project predicting household energy consumption | EDA → Preprocessing → XGBoost | R² 89.4% | Python, scikit-learn, XGBoost
AI-Powered Medical Image Diagnosis Platform | FastAPI, Next.js, MobileNetV2, Secure Reports, HIPAA-Compliant
eal-time financial dashboard using Random Forest to predict 5-minute market movements. Built with Python, Scikit-Learn, and Streamlit.
Autonomous multi-agent AI for literature discovery, citation graph analysis, ML experiments, and research report generation.
Rank 1st in Public Score with 0.447021 F1-Macro
Forging a cutting-edge Salary Prediction Software for Software Engineers. Seamlessly blending the art of data science and the precision of machine learning.
AI/ML-powered exoplanet detection system using NASA Kepler, K2, and TESS mission datasets.
Flight Price Prediction
A Django‑based web app using a pre-trained ML model to predict COVID-19 risk based on uploaded data, with a Cassandra backend for storage.
AI-based system that predicts patient health risk using machine learning and provides precaution suggestions.
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