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
AI/ML Engineer Portfolio | Japanese RAG Production System (FastAPI + real evaluation) | Credit Card Fraud Detection (XGBoost + SHAP + Docker) | Japanese Sentiment Analysis (BERT) | Open to mid-level AI/ML roles (India & Japan)
Real-time cardiovascular risk prediction platform built with Next.js, Flask, and a robust ML pipeline.
✨ Special repository: My professional Data Science portfolio and AI journey.
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
Forging a cutting-edge Salary Prediction Software for Software Engineers. Seamlessly blending the art of data science and the precision of machine learning.
Flipkart product recommendation system using TF-IDF and Cosine Similarity for content-based filtering. Built with Python & Streamlit, it delivers smart, explainable product suggestions with interactive analytics, discount insights, and CSV export — all through a clean, responsive UI.
Autonomous multi-agent AI for literature discovery, citation graph analysis, ML experiments, and research report generation.
[ACM AI 2026] Safety-audit framework for vision-language models on brain MRI, measuring calibration, confident errors, hallucination, abstention, and slice-level accuracy.
AI/ML-powered exoplanet detection system using NASA Kepler, K2, and TESS mission datasets.
Credit risk assessment system predicting loan defaults using Logistic Regression, Random Forest, and XGBoost. SMOTE for class imbalance, SHAP for per-prediction explainability, and a multi-page Streamlit dashboard. Built on Lending Club data.
eal-time financial dashboard using Random Forest to predict 5-minute market movements. Built with Python, Scikit-Learn, and Streamlit.
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