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Domaca Hrana Shop

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Domaca Hrana Shop : We Are What We Eat By Jasmin Ibrišimbegović Introduction I’m continuing my series on ethical software projects—tools designed not just to function, but to help society live in a healthier, more intentional way. In my previous article, I introduced We The People , a platform implementing Liquid Democracy. Now, I’d like to present a project with a different mission: connecting local farmers directly with buyers and promoting healthy, organic food—because we truly are what we eat. Project Vision Domaca Hrana is a sales and delivery platform for locally produced food. Producers can list their goods, and buyers can easily order fresh products from nearby sources. The platform runs on both web and mobile, with advanced order tracking and delivery features. Unlike many projects that start with a bare-minimum MVP, this platform launched as a fully developed system with all essential modules. In terms of functionality, I can confiden...
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Nature Sounds AI

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Nature Sounds : Identifying Sounds Around Us By Jasmin Ibrišimbegović Introduction We live in a world filled with sound—birds chirping at dawn, rain pattering on windows, dogs barking in the distance. Yet identifying these sounds computationally is far more challenging than it appears. Unlike images, which freeze a moment in a fixed frame, sounds are temporal, variable in length, and often obscured by background noise. Nature Sounds is my attempt to tackle this problem: an AI-powered system that classifies 50 environmental sounds in real-time, from frog croaking to car horns, using deep learning and accessible mobile technology. The Challenge of Sound Recognition Sound recognition faces unique challenges that make it fundamentally different—and harder—than image recognition: 1. Temporal Variability Unlike a photograph with fixed dimensions (e.g., 224×224 pixels), audio clips vary wildly in duration. A dog bark might last half a second; rain can continue for hours. Models mus...
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Building REST API service that performs image labelling

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Article Source Introduction For this tutorial I will demonstrate how to use powerful Google API's for making some useful applications. This tutorial is divided into two parts: Part 1. Building WebAPI service that handles image labeling and translation into different languages. Part 2. Consuming this RESTful service from Android application. Using the code We will start by creating new WebAPI project. Start Visual Studio select: New project ->  C# ->Web ->ASP.NET Web Application -Empty. Check WebAPI, and host in the cloud to be able to publish this project later. packages.config will contain all the libraries we need for this project. <?xml version="1.0" encoding="utf-8"?> <packages> <package id="BouncyCastle" version="1.7.0" targetFramework="net45" /> <package id="Google.Apis" version="1.19.0" targetFramework="net45" /> <p...
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