Found 8 repositories(showing 8)
aimeos
Aimeos frontend controler
ralixjs
An AI SKILL that enables structured frontend development in Ruby on Rails using the Ralix microframework — generating controllers, components, templates, and enforcing Ralix best practices.
kishorevicky001
AI enabled B2B invoice Management system is a project based on complete MVC (model view layer) architecture Where user can perfom crud operations on the frontend which will be reflected and changed in the database mysql.For frontend I have used React js , HTML , CSS ,Javascript (view layer). For Database (controller layer) I have used mysql. For business logic (model layer) I have used java. For connecting Database and java I have used JDBC connections and servlets and for loading of the data I have used apache tomcat server and loaded it to the frontend by axios.
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NihalAgarwall
This repository contains the frontend for the SmartRail Control Prototype, an AI-assisted train traffic control solution developed for SIH. It features a real-time, visualization-driven dashboard built with React to help controllers manage schedules, detect conflicts, and handle delays using AI recommendations
sanjith30-git
Smart Energy Monitor & Controller is an IoT-based full-stack project that enables real-time monitoring, control, and prediction of household or industrial power consumption. It combines ESP32 hardware, a Python backend (Flask), and a React frontend to provide a complete AI-powered smart grid management solution.
latishkumeriya
A modern, interactive Tic Tac Toe web application built using Java Spring Boot and Thymeleaf, featuring an intelligent AI opponent with multiple difficulty levels and a sleek UI. 🛠️ Tech Stack Backend: Java, Spring Boot Frontend: Thymeleaf, HTML, CSS, JavaScript Build Tool: Maven Architecture: MVC (Model-View-Controller)
atilasabo22
Fully functional extensible Python Game frontend. Built with Gemini AI in Pro mode. Dual-screen Python game launcher & manager. Features a dedicated vertical fullscreen cover-art display, Xbox controller support, and an automated F9 voice-to-search tool for SteamGridDB covers. Built with PyQt6 and Pygame for a seamless desktop arcade experience.
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