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!
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.
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
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.
Collection of competitive coding problems and solution. An open-source repo for beginners to have first PR opportunity.
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.
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.
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.
Build an automated data analysis system leveraging Microsoft's AutoGen framework to create a team of specialized AI agents. This project guides you through processing CSV data, generating visualizations, and producing comprehensive reports using natural language queries.
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.
This project implements an end-to-end object detection workflow using Faster R-CNN, leveraging DVC for reproducible data versioning and automated pipeline orchestration. Training progress and model metrics are visualized through TensorBoard to ensure optimal performance, while the final model is deployed via FastAPI for high-performance inference.
Add a description, image, and links to the begginer topic page so that developers can more easily learn about it.
To associate your repository with the begginer topic, visit your repo's landing page and select "manage topics."