A curated list of project tutorials for project-based learning.
Powerful machine learning library for Node.js – uses Python's scikit-learn under the hood.
🧠 An open-source machine learning application for analyzing software defect reports extracted from bug tracking systems.
This Recommendation System is a web application developed using Node.js and Express. It utilizes a recommendation engine written in Python
Final year group project Online Employee Management System.
Open source Cloud Framework for exposing scalable Machine-Learning-as-a-Service implementation
Deploying a machine learning model to Heroku.
A distributed ledger-based blockchain implementation of the rates proposed and charged, and the commodity count by hospitals for treatment and consultancy of patients.
Agrologer is an integrated platform designed to assist farmers in managing water-related issues, offering real-time data analysis and remote monitoring capabilities.
Estate AI is a machine learning application that predicts the approximate rent a user would need to pay for their requirement across major metro cities of India. It is built using NextJS 13, TailwindCSS, and TypeScript for the frontend, Scikit Learn for Model Training and and Flask for the backend.
Fresh Farm AI - AI-Powered Crop Quality Control System
A platform for reading personalized research articles from different platforms.
helping buskers find the best spots in real time
🌟 Signez - Interactive ASL learning with real-time hand sign recognition! 🖐️ Learn and practice ASL alphabet with percentage match, predicted words, scores, and a progress dasard. Powered by advanced ML and full-stack integration 🚀✨
🐱 An image classification ML project, with an interactive website, and a deployed model
An AI-enhanced talent acquisition solution that helps HR and recruiters to efficiently source, screen, and match candidates, reducing time-to-hire and minimizing application spam.
A simple website that uses the Fantasy Premier League (FPL) API to show player and manager stats, with a machine learning model for predicting player points in the Predicted Points section
Created a prediction model to predict a players points per game (PPG) stat for the upcoming 2024-2025 season based on their PPG from the past 3 seasons (2022-2022, 2022-2023, 2023-2024). Used a Linear Regression model using sklearn to combine a player's data from all three seasons to help predict their PPG in the upcoming 2024-2025 season.
Created by David Cournapeau
Released January 05, 2010
Latest release 9 days ago