Simulation of Linear Regression algorithm using P5.JS

This prototype was developed for the research project “Educators in the Loop: Using Scenario Simulation as a tool to understand and investigate predictive models of student dropout risk in Distance Learning”

PhysioAI leverages PoseNet, ML.js, and ml5.js to create a browser-based remote physiotherapy assistant. Designed to assist users with guided exercises and real-time feedback, this project runs in a browser to enhance accessibility and effectiveness in physiotherapy sessions.

Machine Learning to predict future stock prices

WebApp uses rear camera of a smartphone to detect and define images.

One of my first project learning about ML in AWS, Amplify, etc.

Webcam livestream video image classification with MobileNet (Tensorflow.js).

Neural Network to predict burnt forest area(in construction)

An exemple app showing how to implement face and emotion detection using the FaceApi library.

a second-hand online trading platform using AngularJS and AngularJS to implement frontend MVC pattern

Create your own fictional constitution based on a sketch.

Web App to locate rivers with their water quality status an map .To predict water sanity using ML, USGS API was used to retrieve water quality stats and Leaflet.js to geolocate the rivers.

A Discord chatbot for play songs, get informations and find similar tracks !

My first interaction with machine learning and neural Network project build without libraries only vanilla js 🚗

Небольшой проект в рамках учёбы, я написал нейросеть на JS с которой через взаимодействие с HTML, вы можете обучить её определять эмоцию рисунков, которые будете ей рисовать.

Detect heart disease by using machine learning.

5-2 Perceptrons with practical usage: Light/Dark Perceptron + Drive/Stop Perceptron