Profile
Name: Illya Chaban
Degree: BSc. Hons. Computing
Department: Visual and Human-Centred Computing
Team Name: CCCMI (C, C++, C# Must Iterate)
Position: Back-End Developer Lead
Main Role: AI Model Developer [Insect Image Recognition using a fully convolutional network (YoloV3)]
Sub Role 1: AI and Server Integration [Sole Developer for AI hosting in server (Google Cloud Platform)]
Sub Role 2: Server and Server Calls Modification [RESTful API implementation and modification (Django)]
About Team: View Team Portfolio
LinkedIn: View LinkedIn Profile
Github: View GitHub Profile
Project Introduction
Project And Role Overview
The customer that is interested in improving Aquality 1.0 is CFES (Centre for Freshwater and Environmental Studies). CFES are in charge of investigating environmental issues and assess adequate solutions to gather more accurate results. The app that they aim to produce is catering for Citizen Scientists along with the general public. Aquality 2.0 is an improvement on Aquality 1.0. Aquality 1.0 determines water quality through the use of insects, a tinder swipe is used to selected the insect types and then calculate a score. Aquality 2.0, on the other hand, determines water quality through the use of 2 sensors (pH and temperature) and employs a custom-built AI Image recognition model to analyse insects automatically for Citizen Scientists.
The AI model assists in identifying the insect type after which the app does an automatic calculation based on insect type and amount, giving a pollution score to the Citizen Scientists. This improves the speed of data collection. The AI model makes it easier for the general public to utilize the app, by helping to identify the insect and calculate pollution scores according to specific insects. The whole project applies IoT technic, combines hardware and software to achieve the purpose of automation. I am responsible for the production of the Insect recognition AI model and some API creations.