CeLux: 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.

Open-sourced is_even function powered by LLM

Rank 1st in Public Score with 0.447021 F1-Macro

Decision Tree are the typically machine learning algotithm that are work on specific data and generate the tree with yes or no formate.

Forging a cutting-edge Salary Prediction Software for Software Engineers. Seamlessly blending the art of data science and the precision of machine learning.

REMX API is an automated REM (Random Encounter Model) tool for animal abundance estimation using Machine Learning

This project predicts anime ratings and classifies their success using data from the MyAnimeList API. It applies regression and classification models to explore key influencing factors.

Flight Price Prediction

"Automated data cleaning & validation tool using AI/ML for error detection, correction, and quality scoring."

Privacy-preserving disease risk prediction using the CKKS homomorphic encryption scheme.

Official implementation of the TMLR paper: An Analysis of Model Robustness across Concurrent Distribution Shifts.

An interactive Power BI dashboard analyzing car sales data with filters for location, ship mode, and year. Provides insights into sales trends, budget performance, and profitability with key KPIs and visual breakdowns by segment, category, and month.

Machine-learning dashboard to predict whether a cell cluster is benign or malignant using Python and Streamlit.

ProbNetX is a research-grade Bayesian network framework that learns conditional dependencies from discrete datasets and performs exact inference for predicting missing values.

This project analyzes traffic accident data to identify patterns and predict crash severity using machine learning models. Various classification algorithms, including Random Forest, Logistic Regression, Decision Tree, and K-Nearest Neighbors (KNN), were trained to classify accident types.

DocAssist AI is a sophisticated medical report analysis system that leverages machine learning to analyze blood test reports and provide intelligent medical recommendations. The system can process both PDF reports and manually entered blood test values to deliver comprehensive medical insights.

Algorithms and methods focusing on fitting polygonal shapes to the arbitrary point clouds or contours for the spelldraw whiteboard applications.

Customer churn prediction (Logistic Regression). 82% accuracy, recall-focused, business insights included.