Projects with this topic
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Tiny, zero depencency reactive consent/cookie banner, weighing in around 4 kB (gzipped).
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A web app of tier list for HSR, WuWa and ZZZ
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Reusable configurations to get projects started quickly.
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Proxies Gravatar images through a Cloudflare worker using AES-256 encrypted hashes provided by Poseidon. Written in TypeScript.
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Porn-Vault is a self hosted organizer for adult videos and imagery.
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This is the Angular component library used for creating websites or other web-related things. CI operating on GitHub actions due to historical reasons.
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Shared code library
Used as a git submodule on both Karaoke Mugen App and Server
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Inits the configuration files, the volume's directory structure, the XFS quotas
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A vector tile map viewer writter in react for https://dego.vng.nl / and https://dook.commondatafactory.nl the react-map is configurable for 'topics' like energy transition.
acceptance environments:
https://acc.dook.commondatafactory.nl
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Cheat sheets for several programming languages and IT related tools.
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Playlist / karaoke session manager and player
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Web application for managing household budgets
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SmartPy
Smart Contracts on Tezos
A comprehensive solution for developing, testing, and deploying smart contracts on the Tezos blockchain. All in familiar Python syntax.
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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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A web page displaying my recent work and bit about me.
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Repository for the core system of shepard containing frontend, backend and documentation.
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