An easy neural network for Java!
Script for checking changes in webpages
🗺️ Discover 30 challenges in this roadmap to develop your skills in React, Tailwind and TypeScript — take the journey or begin with any challenge.
A lost or found website for college.
A fairly Simple Game made in Java,You can adopt Pets, name them, and take care of them for XpPoints and level up!
Beginner-friendly WhatsApp bot in Python: learn to build a basic bot that responds to commands with text and images. Simple setup, detailed code comments make it easy for new developers to master WhatsApp API integration and bot functionality
This repository contains projects for practicing Java for both beginners. For detailed information, please refer to the README.md file. You can also translate the README into your preferred language for better understanding.
Contribute here for Hacktoberfest2022. You can submit algorithm codes in different languages. Fell free to submit your Pull Request. Also you can submit your frontend projects. Also feel free to raise issues Solve it and Submit your PULL REQUEST
What's it like to create your first pull request on GitHub? Here's a fun exercise to instruct you how to do so. Go ahead and learn by adding your profile on the website. Also, it's Hacktoberfest, so change the world one pull request at a time.
This project focuses on developing a machine learning system to predict customer churn in the telecommunications industry. It covers the entire data science lifecycle, from exploratory data analysis to model deployment, enabling proactive intervention and customer retention
AI Image Analyzer is a serverless web app where users upload images to automatically understand their content. It uses AWS Rekognition for label detection and AWS Bedrock (Mistral) for natural language descriptions. Built with Terraform, the frontend runs on S3, while API Gateway and Lambda power the backend.
Collection of competitive coding problems and solution. An open-source repo for beginners to have first PR opportunity.
This project simulates a senior ML engineer role by building a scalable network threat detection system. It includes a structured dev setup, ETL pipelines, and full MLOps with MLflow + Dagshub for reproducible experiments, plus MongoDB Atlas for data management and automated ingestion/transformation.
This project guides you through end-to-end AI agent development using Google's Agent Development Kit (ADK). You'll learn to build agents, expose them via REST APIs, create a Streamlit frontend, and deploy them to Google Cloud Run, resulting in a fully functional and production-ready AI agent application.
Develop a robust thunderstorm forecasting system leveraging machine learning models and MLflow for tracking experiments. This project integrates data preparation, model training, hyperparameter tuning, and deployment to predict thunderstorm occurrences, enhancing weather prediction accuracy and enabling proactive safety measures.
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