Andreja Nesic's Projects
My profile repo. Hoo-wah!
Java Spring server za menadžment bolničkog sistema. Individualni projekat razvijen u okviru predmeta Upravljanje Informacijama (3001) na Računarskom fakultetu.
Concurrent and Distributed Systems class homework no. 1
This convolutional NN is used for classifying 101 types of food. Trained using Food-101 dataset (Kaggle source: https://www.kaggle.com/datasets/kmader/food41)
Set of services and models for creating a basic e-commerce website with CodeIgniter.
Solution code for my article "Building a Segment-Inspired Data Pipeline Platform Using Apache Kafka, Spark and Node.js on AWS"
Decentralized betting platform developed in Solidity.
Demonstration of how a continuous genetic algorithm can be used to train the parameters of a neural network. Written in Python.
Java desktop mind-mapping software with Swing GUI.
Solutions to a set of select HackerRank problems.
Hadoop beginner exercise in analyzing European football teams' statistics over the last 20 years. The goal is to determine which team had the highest win percentage-rate.
Exercise of using the Streaming API with Hadoop to determine the word count of Wikipedia articles.
Hadoop beginner exercise - using the Streaming API to determine the frequency of words in Wikipedia articles.
Simple, working Docker setup for Hadoop. Get your Hadoop apps up and running in minutes.
Solutions to H-99 problems list.
Hotel reservation system consisting of multiple software components; developed as part of a uni pair assignment.
User-friendly app for keeping track of habits, fitness, body and nutrition.
Solutions to a selection of LeetCode problems.
This library enables Java programs to conduct IO operations (create, read, move, delete, download, etc.) over an abstract IO implementation. Microservice-style architecture.
Demonstration of how to create a sellable NFT collection that includes a presale to whitelisted addresses.
Client submodule of the NFT-Collection repository.
Contract submodule of the NFT-Collection repository.
Individualni projekat izrađen u sklopu pohađanja kursa Programski Prevodioci (4008) na Računarskom fakultetu.
🚀 Go from 0 to a fully-functioning, modular Python project in 30 seconds.
Simple sound wave analysis program built in Python. Plots one or more WAV files as histograms, spectrograms, etc.
Simple Python program to calculate the LPC, MFCC vectors and report similarity via DTW.