A mobile app built with Flutter to calculate and reduce individual carbon footprints, promoting sustainability and environmental awareness.
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Updated
Feb 11, 2024 - Dart
A mobile app built with Flutter to calculate and reduce individual carbon footprints, promoting sustainability and environmental awareness.
A new package that helps users determine the noise level of their environment by analyzing text descriptions. Users input a brief text describing their surroundings, and the package processes this inp
Become a manatee and learn about eutrophication in this VR game built with Unity!
Ce projet a été réalisé dans le cadre du module PIDEV 3A à Esprit School of Engineering.
Social networking platform designed to connect individuals and organizations committed to environmental conservation efforts. It provides a dedicated space where users can share eco-tips, interact, organize events, and support green initiatives. 🌍💚
Professional Education Newsletter featuring a Favorite Green Tip to promote environmental awareness.... | View more at LaravelMail.com
A professional newsletter highlighting the significance of National Garden Month and promoting the benefits of gardening for environmental awareness.... | View more at LaravelMail.com
Project: React Web App for Plantation and Vegetation Management. Created at https://spectra.codes, which is owned by @Drix10
🌿 Ecoleta is a responsive waste collection marketplace connecting people to collection points. Built with pure HTML, CSS, and JavaScript, it features a mobile-first design, point registration with IBGE API integration, and an intuitive search interface. The front-end is complete and optimized for all screen sizes.
NatureGuardian: Android app for India’s endangered species with AI chatbot (Gemini), real-time news (AWS), and Google Maps. Built with Jetpack Compose, Firebase, and serverless backends.
This website is for the Enviromental Awareness Project during 2024-2025 academic year at MHEP.
An interactive web application that visualizes natural events occurring across the planet, such as wildfires, earthquakes, hurricanes, and volcanic eruptions.
A web-based application that predicts the percentage of greenery in an uploaded satellite terrain-view image using a pre-trained U-Net model. The app allows users to upload images and instantly receive a prediction of the greenery percentage, promoting environmental awareness. Built with Flask, TensorFlow, and OpenCV.
🔊 Analyze text descriptions to assess environmental noise levels, empowering smart systems and enhancing personal safety.
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