JavaScript (JS) is a high-level, often just-in-time compiled and multi-paradigm programming language that conforms to the ECMAScript specification.
Projects with this topic
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“Schnittstelle zur Wahldatenbereitstellung”: An API and a UI to access data about elections concerning the Verfasste Studierendenschaft of the Universität Heidelberg. Contributions welcome!
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🚀 Project DescriptionThis project aims to empower farmers through AI, IoT, and data-driven automation, transforming traditional farming into a smart, sustainable process. It provides end-to-end guidance — from crop selection to profit generation — using intelligent technologies.
Our system integrates AI-based crop recommendation models that analyze soil, weather, and market trends to suggest the most profitable crops. IoT sensors monitor soil moisture, humidity, and temperature in real time, while CNN-based image processing detects plant diseases and tracks growth stages.
An intelligent Gemini AI assistant generates automated farming schedules for irrigation, fertilization, and maintenance, ensuring optimal yield with minimal manual intervention. The backend, built with Node.js and Express, manages sensor data and communicates with a cloud server for advanced analytics.
The system also includes AI-based hardware sensors that perform on-field edge analysis and sync with the central server for instant decision-making. The React + Vite frontend offers an intuitive dashboard for real-time visualization, alerts, and AI insights.
With features like predictive yield analytics, pest control recommendations, and market trend forecasting, this platform provides farmers a complete technological ecosystem for smart, profitable, and data-driven agriculture.
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Este projeto implementa um sistema de recomendação de livros híbrido, desenvolvido de ponta a ponta, com foco em personalização e descoberta de novas leituras.
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Bachelor Thesis Project - Evaluating WebAssembly as a runtime environment for serverless functions.
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State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
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Empirical analysis of the performance between Node and Deno using cloud computing.
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UniGPT-Assist is a succinct, user-friendly solution that addresses the tangible problem of efficiently navigating through university life, providing a reliable and instant information source for students.
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This project revolves around the development of an engaging game that features a central agent navigating through a dynamic map while facing off against various enemy agents. The focus of the project includes implementing sophisticated AI for the main agent, progressively increasing in complexity to match the game's difficulty levels.
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