From 1de9229597c962bcf291d9faa43f358be0766426 Mon Sep 17 00:00:00 2001
From: a272-jones <aaron8.jones@live.uwe.ac.uk>
Date: Wed, 19 Feb 2025 11:10:56 +0000
Subject: [PATCH] Upload New File

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 create mode 100644 Sprint 1/Requirements_and_Case_Study_Information.txt

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+-----------Establishing Requirements
+-----Actors in case study:
+
+--End-users:
+
+Should be able to access a dashboard in which they can upload a record (text, image, video, audio file) and get outputs (predictions, for example) returned by the ML model. The system should provide feedback on the output.
+
+--AI Engineers:
+
+Should be able to train a new ML model outside the system, then upload that model into the MLAAS service.
+
+Can access a database of all interactions between end-users for the purpose of refining ML models.
+
+--Administrators:
+
+Should be able to see all activity on the system and manage users.
+
+Monitor the level of activity on the MLAAS.
+
+--Finance Teams:
+
+Can generate billings and invoices (for example, to different insurance companies) based on end-user activity.
+
+--General Requirements:
+
+Web interfaces that involve different dashboards for the different types of users.
+
+Usage of a database to store logs of all interactions on system.
+
+Ability to connect to a billing service. 
+
+
+----------Default Case Study:
+
+Develop a methodology on how to solve the problem of displaying information at a better glance from the incomplete dataset, and how to improve the overall experience for the customers. 
+
+Implement and test AI-based solutions in the format of a MLAAS (Machine learning as a service).
+
+Demonstrate a working implementation - make it presentable and each system well-connected.
+
+Report findings in a way suitable for different types of users.
+
+Recommendation of whether the technology is suitable to be adopted by the organisation.
+
+----------Task Spec for DESD side:
+
+Design and build system using Django framework following he MVT of Django implementation using a Relational database of our choice.
+
+Should be developed as a Prototype of an enterprise software, which it requires it to be a distributed system, where the pieces are required to be deployed on a number of containers (2 minimum, 3 or 4 ideally) using Docker.
+
+Should use Docker to containerise and deploy the application, where the DB server and the webapp should be running on different containers with different web addresses. Should deploy frontline, the app, some functionalities developed using DRF, and the DB on separate containers.
+
+Demonstrate and discuss working system using VS Code. 
+
+
+
-- 
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