Yr12 Journal 14

smartCrypto

Project Definition Document (Initial Brief)

Purpose of this document

The purpose of this document is to define a proposed project with enough information for an informed decision to be made on whether to approve the project to proceed.

This document is the responsibility of the Project Team.

 

Project approval is dependent upon the document being completed and reviewed by the teacher of the project course.

● If the project is approved, it can then begin planning and execution,

● If the project is not approved, the Project Team can review the project and resubmit for reconsideration.

 

Table of Contents

• Purpose of this Document
• Table of Contents
• 1. Project Definition Information
• 2. Project Idea
• 3. Project Purpose
• 4. Team Member Capabilities
• 5. Project Outcomes/Requirement Objectives
• 6. Initial Scope of the Project
• 7. Time Objective
• 8. Parties Involved
• 9. Constraints
• 10. Feasibility
• 11. Roles & Responsibilities
• 12. Initial Issues
• 13. Risks
• 14. Deliverables, Timeframes and Dependencies

1.  Project Definition Information

Project Name:	smartCrypto
Project Team:	Jason Xu
Mentoring Teacher:	Edwin Griffin
Proposed Project Start Date:	July 31, 2022

2.  Project Idea

The project smartCrypto uses data from crypto market to train a model that can predict the trending of a specific crypto coin in runtime, based on pass record of this coin and also the global trending.

3.  Project Purpose

Last few months, I put $15,000 in crypto to invest. Of course, thanks for the Russian-Ukraine situation, I lost 70%. I HAVE TO make this money back somehow by investing crypto again (of course). To make sure I make more profit with less stress, here we come smartCrypto.

4.  Team Member Capabilities

Team Member	Capabilities
Jason Xu	Knowledge of C#, JavaScript (Node.js, JQuery), Object-C, PHP, HTML, CSS, SQL, Python, Shell, C++ Knowledge of Linux (command line)

5.  Project Outcomes/Requirement Objectives

 

Outcome	Description
Obtain data from crypto market	Can obtain data (i.e. price) from crypto market (i.e. Binance)
A trained model based on the data	Can generate a model base on the obtained data
Make prediction by using the model	Can predict crypto price trending using the generated model

6.  Initial Scope of the Project

 

In Scope	Out of Scope
Selected time ranged data for model training	Ability to change the data and retrain the model
Request real time statistics of a crypto coin from crypto market	Ability to change crypto market source
An interface to demonstrate prediction (either in GUI or CLI)
Custom crypto coin to analyse

7.  Time Objective

The timeframe for this project is: 11 weeks

 

 

 

 

 

8. Parties Involved

Party	Involvement
Test users	Testing and review of features and user-interface
Mr. Griffin	Review the project

9. Constraints

Constraint	Impact on Project Success (High/Med/Low)
The quantity and accuracy of data	High
The ability to implement a model training process	High
The hash computing performance when training the model	High

10. Feasibility

Skill Required	Resource with skill / capability
Crypto data source	Binance API
Model training + make prediction	Tensorflow/Pytorch
User interface	HTML/CSS/JS Or Command Line
Project information / user documentation	Word Journal website
Ability to alter the crypto price	None

 

Feasibility Scale: 90%

11. Roles & Responsibilities

Team Member	Roles / Responsibilities
Jason Xu	Project Lead System Analyst Frontend developer Backend developer Documentation Specialist

 

12. Initial Issues

Issue	Description
Lack of time – Jason	Jason has a lot of assignments + assessments as he is a Year 12 student (most importantly he does specialist mathematics). Alternatively, he has lots of different projects to work on (open source projects). Therefore, he might not have enough time to work on the project.

13. Risks

Risk	Description	Impact of Risk (L M H)	Mitigation / Reduction
Team sickness	Team member becomes sick/ill for extended period of time	H	Request extension from the teacher; or, Reduce the amount of work
Loss of model	Somehow the saved trained model is lost	H	Weekly backup the model

14. Deliverables, Timeframes and Dependencies

Timeframe estimate: 11 weeks

Deliverable	Duration	Completion Date	Dependencies
Data crawling	1 Week	End Week 2	None
Model training	1 Week	End Week 3	Data crawling complete
Model implementation	1 Week	End Week 4	Model training complete
User interface	1 Week	End Week 5	Model implementation complete
Testing	6 Weeks	End Week 11	User interface complete
Documents + PowerPoints	1 Week	End Week 12	Testing complete