👋 Hey GitHub community!

I’m excited to share my latest project: NextSolution V2! 🚀

Project Overview:
NextSolution V2 is a starter template that integrates an ASP.NET API 🖥️, Next.js (React) 🌐, and Expo (React Native) 📱. It’s crafted to provide a robust foundation for full-stack application development with dynamic APIs and responsive web and mobile interfaces.

What Inspired Me:
After the initial release of the NextSolution template on NuGet, I saw a steady rise in both NuGet downloads and GitHub stars. The positive feedback motivated me to develop V2, featuring an enhanced codebase and improved organizational patterns.

Special Features:

✨ ExpoApp Project:

• Added ExpoApp with React Native Paper and NativeWind.
• Customizable sign-up, sign-in, and reset-password screens.
• Integrated Prettier for consistent code formatting.

✨ NextApp Project:

• Added NextUI for UI components and Prettier for code formatting.
• Customizable sign-up, sign-in, and reset-password modals.

✨ WebApi Project:

• Implemented IdentityController and configured Ngrok.
• Added Twilio and MailKit for communication services.
• Integrated RazorViewRender for HTML views, OAuth for authentication, and JWT-based authentication.

🔄 Updates:

• Refined project structure to better support modular and technology-specific needs.

Getting Started:

1. Install the template: dotnet new --install NextSolution.Template::2.0.0
2. Create a new project: dotnet new nextsln -o YourProjectName --include-expo --include-next --configure-ngrok

For more details, check out the GitHub repository. If you find it valuable, please consider giving it a star ⭐!

About Me:
I’m Prince, a developer passionate about creating full-stack applications and exploring new technologies. I’m here on GitHub to connect with fellow developers, share knowledge, and collaborate on exciting projects. My goal is to continue building tools that make development easier and more enjoyable.

Looking forward to your feedback and engaging with the GitHub community!

Happy coding! 💻

chessapi4j

Hi! I started this project last year and have been improving it, fixing errors and bugs along the way. This year, I picked it up again and made several improvements. It is a Java library that allows you to work with chess-related operations.

The library includes features like verifying legal positions and legal moves, working with PGN files, generating legal moves from a given position, and handling FEN strings.

Since chess is a game, many natural abstractions arise. Developing a relatively fast move generator was particularly challenging (I believe Java can't offer much more speed), while also ensuring it passed the standard unit tests for a move generator. The library includes many features, and perhaps I'm not doing a good job of describing them all.

I am just an amateur programmer, and I wrote this library because I wanted to create a server for an online chess website. As I started, I realized it was better to develop it as a separate project from the server, and then I realized it didn't have to be proprietary software, so I decided to share it, which led me to GitHub in the first place.

Astroboard the Umbraco dashboard

Repo: https://github.com/wpplumber/astroboard

Get insights of your contents, assets and members while using the friendly CMS.

No special blockers except Angular JS used by the CMS for services.

I'm a web programmer focused on Front-end with experience in developing Umbraco websites and packages also web apps using Tailwind CSS, SPA and PWA in Vue (+ Quasar Framework, Vuetify), AstroJS.

Professional aligned with agile methodology. 📆

Hello Everyone! My name is vaishali singh, i am a student from India and i recently made a project on simple blockchain implementations.

project repo link: https://github.com/vaishaliisingh/Blockchain-fundamentals

Project Description:
This project is a basic implementation of a blockchain using Python. The blockchain system includes essential features like creating blocks, managing transactions, and implementing a simple Proof of Work algorithm. The project demonstrates how a blockchain can be structured and maintained, showcasing key concepts such as mining, hashing, and validation.

Key Features:
Genesis Block Creation: The blockchain starts with a genesis block, which is the first block in the chain.
New Block Generation: Users can mine new blocks by solving a computational problem, adding them to the chain.
Transaction Management: The system allows users to create and store transactions, which are included in the next mined block.
Proof of Work: A basic Proof of Work algorithm is implemented, requiring miners to find a valid hash with specific characteristics (e.g., starting with four leading zeros).
Blockchain Validation: The blockchain can be validated by checking that each block’s hash and the previous block’s hash are consistent and correctly calculated.

How It Works:
The blockchain begins with the creation of the genesis block.
Users can add transactions, which are stored in a list until a new block is mined.
When mining a block, the Proof of Work algorithm requires finding a nonce that generates a valid hash.
Once mined, the block is added to the blockchain, and the transactions are cleared for the next block.
A simple validation method ensures the integrity of the entire blockchain by checking the hashes of all blocks.

Technologies Used:
Python
Hashlib for SHA-256 hashing
JSON for encoding block data
Basic concepts of blockchain, including Proof of Work and transaction handling

This project serves as a foundational demonstration of how blockchain technology works, making it an excellent starting point for understanding more complex blockchain systems and applications.

fan_control (https://github.com/TarikTornes/fan_control)

Hey everyone I am an undergrad student from Luxembourg and I am new to the OpenSource world and to C and therefore decided to create a small project which is a daemon called fan_control.

It started when I wanted to build my own little DIY homeserver with a Raspberry Pi 4B, and decided to cool it with a small cooling system which uses a fan. It bothered me that the only option was to run it permanently on full speed, so I decided to build my own little project in order to fix my issue and improve my C knowledge by coding a small daemon which checks the temperature of the Raspi and adjusts the fan speed according to the temperature.

I am sharing it with you to hopefully get feedback and suggestion according to my style of coding, efficiency and everything about creating a OpenSource project, since I am quite new to this.

Feel free to give me feedback of any kind, wether it is a comment below or as an issue on my repo.
You can find the project here

PS: You can also give feedback to my other repos.

Implemented persistent memory storage using MongoDB to maintain conversation context across multiple sessions
Integrated Google's Gemini AI model for natural language processing and generation
Added support for multiple languages (English, Spanish, French, German, Chinese)
Created a responsive web interface using Gradio framework
Developed a stateful conversation workflow using LangChain and LangGraph
check it out here:https://github.com/Tharindu1527/AI-Chatbot-With-Memory

Hi there I am Giovanni Leopoldo Rozza,my project generates time series using the ARIMA (AutoRegressive Integrated Moving Average) model. The inspiration came from my interest in data analysis and statistical modeling. I wanted to create a practical tool for generating synthetic time series data to help simulate real-world applications. There is an runnable jar file in the repository (english and portuguese)

Special Features & Challenges:

• Implemented using Java 7 with external libraries, including Apache Commons Math for mathematical operations, MigLayout as layout manager (far better then Java Swing) and JFreeChart for data visualization.
• Integrated features to fine-tune parameters and handle different configurations.
• One of the main challenges was ensuring numerical stability in the series generated for long-term forecasting.

I am an Electrical Engineer with a master's degree in Production Engineering and a specialization in Java from UTFPR. I have extensive experience in telecommunications and embedded software development, including nearly two years of professional experience in Germany. Currently, I am transitioning to Java web software development, focusing on mastering frameworks like Spring Boot while seeking my first professional opportunity in this field.

I have a strong passion for problem-solving, software design, and collaborative development. My technical stack includes Java, Spring Boot, Docker, and REST APIs. I am always open to learning new technologies and contributing to impactful projects.

I am eager to demonstrate my capabilities in Java web development, contribute to real-world projects, and collaborate with other passionate developers in the community.

https://github.com/rgiovann/gerador_series_temporais_arima

Repo: https://github.com/gake572/airguard

About my project: AirGuard is a crowdsourced, real-time air-quality monitoring and forecasting platform. It lets anyone deploy low-cost PM2.5/NO₂/O₃ sensors, stream data via MQTT or HTTP webhooks, and visualize hyper-local pollution on an interactive Leaflet map. Under the hood, a TimescaleDB time-series database powers historical queries, and Prophet-based ML forecasts generate 24-hour pollution predictions with uncertainty bands.

Special Features & Challenges:

• Live Map & Dashboard: interactive filter by time, location, pollutant type, with retry-enabled TileLayer and fallback tiles.

• Automated Alerts: threshold-based SMS/email notifications when pollution spikes.

• ML Forecasting: hourly forecasts using Facebook’s Prophet, plus a simple clustering prototype for hotspot detection.

• Toughest Hurdle: integrating high-frequency MQTT ingestion with TimescaleDB without data loss, and then wiring that into a responsive React + Plotly frontend.

About Me!: I’m a Data Engineer building environmental sensing platforms in my free time. I joined GitHub to collaborate on real-world data challenges and share the end-to-end code that powers IoT-to-dashboard workflows. My goal is to make high-quality air-quality insights accessible to every community—and to learn more about scalable real-time systems along the way!

Thank you sooooo much, please feel free to reach out!!

Hello All,
I am excited to share my first project on GitHub - Keyword_Based_Correspondence_Classification
(https://github.com/Rishibharaj/Keyword_Based_Correspondence_Classification)

A Lightweight, Auditable Framework for Categorizing Consumer Communications in Restricted Environments

Overview: This project introduces a lightweight, auditable framework for classifying consumer communications using a structured keyword-driven approach. It’s built to thrive in environments with high data confidentiality and tooling restrictions—primarily using Microsoft Excel as the base platform. No code, no external dependencies, just logic, rigor, and practical design.

Motivation: Manual interpretation of unstructured consumer correspondence can be inconsistent and error-prone, especially in regulated domains. When access to advanced tooling is restricted, teams need scalable, interpretable systems that don't compromise on quality or auditability.

This framework:
• Simulates intent detection using rule-based keyword mapping
• Derives structured outcomes from emails, SMS, and scanned documents
• Applies statistical validation and confidence scoring for outcome reliability
Disclaimer: Due to the proprietary nature of the framework, no client data, keywords, or classification categories are shared. All examples provided are illustrative and designed to convey methodology only.

Core Components
• Excel-based Keyword Mapping Engine
• Outcome Precedence Logic for multi-category detection
• Confidence Level Sampling (99% for high-priority, 95% for general categories)
• Variance & Distribution Analysis using statistical formulas
• Performance Optimization Tips for large-scale audits

Visual Illustrations: Sample logic sheets demonstrate:
• Keyword-category mappings
• Category detection layers
• Audit sampling calculations
• Keyword heat maps for distribution analysis
(Note: All data shown is anonymized and synthetic)

Applicability:
Ideal for:
• Quality Assurance and Operations teams in restricted digital ecosystems
• Environments with Excel as the only permitted toolset

Roadmap:
Planned enhancements include:
• Expanding category granularity
• Refining precedence logic for edge cases

Contribution:
Due to data sensitivity, external contributions are currently limited to methodology feedback, optimization suggestions, and usage scenarios. Feel free to open an issue or start a discussion!

My project is a set of GitHub projects.

1. I am willing to configure as many as you like, according to the topics that you want to discuss.
   1.1 Why have you created the discussions feature?
   If one assumes that you have seen that people use computer programs firstly to communicate, then we can have e.g. online public talks about helping people to interact remotely as usefully as possible.
   1.2 As more than a billion people appreciate the fact that it is easier for our brains to process datasets when they are displayed more clearly, we can create sub-issues instead of comments to respond to a message composed in the description field, especially when we are going to compose messages that are longer or more complex. We can benefit from the offset display and from using fields to indicate the status of a message, a deadline, etc.

2. While GitHub is the most popular program for fruitful interactions, it's less popular than Facebook.
   People use Meta software for fruitful interactions, but Meta includes means rather for sterile communication. We can make Microsoft more popular.
   2.1 For instance, we can discuss Lists, Loop, and other software in relation to GitHub.
   2.1.1 People have asked for improvements to the projects feature, which is related to Lists.
   2.1.2 Content management features that Microsoft includes in Loop are appreciated widely and can be useful to GitHub users.

3. One's interactions are fruitful when one cooperates with others to achieve one's goals.
   In this context, I appreciate professional solutions. While GitHub has been advertised as a store of helpful code and can be used as a catalogue of computer programs, we can discuss related solutions, too. Each human is a complex being with many (pre)occupations.

4. I'm willing to shape such spaces together with many people, according to the benefits that they seek.
   Similarly to what one can experience here, I would try to optimise moderation.
   I would have been glad if online group communication had been better. I was hopeful around 2010. The many negative experiences about which I have found out, too, can be a reason for me to help avoid them, to choose methods and means with which it becomes more probable that more people enjoy good communication with the desired results.

🌟 项目简介 | Project Brief

https://github.com/lengxitiger/Python-JS-Java-Go-4lang-200_TCM

中文：
「四语编程×中医跨界」实战宝典——200个独立代码案例，覆盖Python/JS/Go/Java核心语法，用「君臣佐使」架构思维与「气血调理」优化理念，打造可落地的多语言开发指南。
Four-Language Programming × TCM Crossover - 200 standalone code cases (Python/JS/Go/Java) blending "Monarch-Minister-Assistant-Envoy" architecture & "Qi-Blood Balance" optimization for practical polyglot development.

English：
A hands-on guide fusing 4-language coding (Python/JS/Go/Java) with TCM philosophy - 200 practical cases applying "Sovereign-Minister-Assistant-Envoy" structure & "Meridian Flow" optimization to real-world dev challenges.

其他说明/Other Notes:

It is still under processing at present.
It will take 20 days to complete.

Hello shadows , i have make a fun website for Anime lover of its a wallpapers app and website if any bug is found in my website please message me

https://www.animepixels.com/

Hello everyone!
I’m Muhammad Raees (@M-RaeesDev), a passionate Full Stack Developer. I’m currently diving into Agentic AI and Python alongside my core stack:
MERN (MongoDB, Express.js, React.js, Node.js), REST APIs, NextAuth with Clerk, Firebase Auth.

I focus on building real-world solutions, not just code for learners, creators, and communities.
Pinned projects you might find interesting:
• AI-powered Student Assignment Grader automates grading tasks
• MERN E-commerce App a practical online store template
• Blogging Website sleek, responsive blog platform
• NextAuth Using Clerk, Firebase Auth App modern authentication examples

You’ll find my complete repo collection at my GitHub profile: github.com/M-RaeesDev

If any project catches your interest, I’d love your ⭐ star or feedback. And I’m always open to collab let’s build something great together for humanity!

Thanks for your time, and happy coding! 😊

I'm excited to share my first project stemming from webpage authoring: SVG Spritesheet Builder! It's a simple web app for creating SVG spritesheets from uploaded images, supporting PNG, JPG, SVG, WEBP, and AVIF formats.

With intuitive drag-and-drop uploading, you can easily add your images and choose between custom sizing or preserving original dimensions for pixel-perfect results. The app lets you configure options such as size, spacing, columns, and sprite naming, and generates optimized SVG spritesheets with clean code—all processed client-side for privacy and accessibility.

The app provides a real-time preview as you build, making it even easier to fine-tune your spritesheet before downloading.

Feedback and contributions are welcome!
GitHub repo

I’m Aman Rai from Nepal, currently pursuing my Bachelor’s in Information Technology (BEIT) at Cosmos College of Management and Technology (2025 batch). I joined GitHub to learn, build, and share my journey as I grow into a better developer. My main goal is to sharpen my problem-solving skills, explore full-stack development, and connect with fellow developers who are just as passionate about coding 🚀.

Here are some of the projects I’ve been working on:

🔹 AI Assistant
– AI Assistant is a real-time AI chat and voice assistant, built with Next.js, React, and Tailwind CSS, offering personalized and responsive AI interactions.
🌐 Live Demo: https://ai-assistant69.vercel.app/

🔹 Portfolio
– A fully responsive personal portfolio website built with Next.js and Tailwind CSS to showcase projects, skills, and contact information.
🌐 Live Demo: https://aman8.vercel.app/

🔹 Weather App
– Weather App – A React + Vite app that shows real-time weather for any location using a weather API.
🌐 Live Demo: https://weather-app69.vercel.app/

🔹 Currency Converter
– A responsive React app for real-time currency conversion with live exchange rates and country flags.
🌐 Live Demo: https://currency-converter-opal-three.vercel.app/

I’m excited to continue exploring React, Next.js, and full-stack projects.
Also interested in MERN and 3T stack.

Looking forward to connecting, getting feedback, and learning from this amazing community. 💡

Happy coding! 💻✨

👋 Hi there!

Visit my README file here: My GitHub Profile

If you like it, don’t forget to give it a star ⭐!

After visiting, if you’d like to make your profile look like mine, just follow these steps:

1 - Clone my GitHub repository where this README is located.
2 - Open the project in VS Code.
3 - Copy the entire README.md file content.
4 - Go to ChatGPT (or any AI assistant) and paste the full README file.
5 - In the same prompt, also provide your own GitHub profile link.
6 - Ask the AI: “Please adjust this README file to match my GitHub profile.”
7 - You’ll get a customized version of my README, tailored to your profile.
Finally - Replace your profile’s README with this updated file.

Done! Your GitHub profile will now look like mine, and all your contributions will be clearly visible to you and your followers.

Hey there!:

https://github.com/EfficiencySimplicity/CRV-Playground

I made this repository mostly to present my creation out on Github. It's a method (and tools) for creating word vector representations that actually make sense, and work pretty well --It's actually taught me things about English that I didn't know before :)

The repo is a bit of a mess, and I can't seem to make the code (or readMe) seem real professional :/ but the system is pretty self-explanatory, and fun to play with.

I'm trying to get a prediction model set up sometime soon, and see how that works out.

Love to hear any feedback, especially feedback related to organization!

Sneak peek: rating words based on similarity to 'cheddar':

Introduction

Hi, I'm Om Sonawane — a passionate Full-Stack Developer and Designer exploring AI-driven innovation.
I work with Generative AI and Agentic AI to build future-ready solutions.
Currently expanding my skills in Data Analytics and Data Science to solve real-world problems.
I love blending creativity with technology to craft impactful digital products.
Open to collaborations, freelance opportunities, and innovative projects.

Trader-Behavior-Insights Project link

https://github.com/OmSonawane-360/Trader-Behavior-Insights

Project Overview

his repository contains a data science project that analyzes the relationship between Bitcoin market sentiment and trader performance. The goal is to uncover patterns in trader behavior during different market conditions and provide actionable insights for smarter trading strategies.

Two primary datasets are used:

Fear & Greed Index – Measures Bitcoin market sentiment over time, classified as Fear or Greed.
Historical Trader Data – Contains trade-level information including account, coin, execution price, trade size (tokens & USD), trade side (BUY/SELL), timestamps, PnL, and other details.
Objective: To explore how market sentiment influences trading behavior and performance, identify hidden patterns, and generate insights that can support more informed trading decisions.

Datasets: Click here to access datasets on Google Drive