This is a web demo for camera-based PPG sensing (rPPG).

☕️ A vscode extension for netron, support *.pdmodel, *.nb, *.onnx, *.pb, *.h5, *.tflite, *.pth, *.pt, *.mnn, *.param, etc.

Layered Semantic Space Architecture

VSCode Extension of Type4Py

(computer vision in hosipitals) this is a simple rest api that classifies pneumonia infection weather it is Normal, Pneumonia Virus or Pneumonia Bacteria from a chest-x-ray image.

Digit recognition with dl4j

code generation chatbot for stabilty AIs stablecode

AI Image generator and NFT Creator

A library simplifying the work with TensorFlow.js in Node.

ml5.js example for ReactJS with Typescript variant. This repository contains two examples, one of pose-net and another of face-api. Read about this in my blog (https://analyticsindiamag.com/how-to-teach-machines-inside-a-browser/).

Deep learning framework for TypeScript

A simple implementation of a Multi-Layer Perceptron (MLP) neural network in TypeScript.使用 TypeScript 实现的简单多层感知器（MLP）神经网络。

AI-powered tool for early detection of nail-related diseases from images. Upload a nail photo and get real-time predictions using a high-accuracy deep learning model (97.8% accuracy). Built for scalability, efficiency, and healthcare accessibility.

Different prototypes for detecting chemical graph presentation of the molecules into computer-readable format from image, IUPAC name

Research-backed AI-driven integrity system ensuring fairness, reproducibility, and transparency in remote evaluations. Features deterministic logic, semantic grading, and live proctoring validation.

Core TypeScript library for accessing the UFDL backend, managing the communication.

NeuroDetect AI is a deep-learning based system that detects brain tumors and Alzheimer’s disease from MRI scans using optimized CNN and transfer-learning models. It provides fast and reliable predictions through a simple web interface with a Flask backend, offering an effective AI solution for early neurological diagnosis.

Spam comment detection on social media using emoji analysis and post-comment pair context to improve classification accuracy.

A showcase of my AI/ML journey—featuring hands-on projects in machine learning, deep learning, NLP, and real-world applications built using Python, TensorFlow, and more.