I want you to look up a problem in Rwanda's education system $($add citations, statistics, etc.$)$ Create a suitable Introduction and Motivation, problem statement, The project's specific objectives$($a solution using Supervised Machine Learning Models, i$.$e$.,$ Neural Network$),$ Project Scope, look up Data For training the Model$($ two suitable data sets$),$ Technical requirements that will be needed to make the project and finally the references at the end. I've attached a sample you can consult for the formatting, not the content. Be creative and make a good proposal for this Education with Machine Learning Models. Personalized Learning: Making instructional content for each student's requirements and ability. And at the bottom is the rubric $.$ Before you proceed, do you understand? criteria Ratings Pts

$[$Problem statement$]$

$5$ pts

Excellent

Clearly and comprehensively defines the problem by drawing on extensive existing research and work within the sector. Identifies specific gaps that remain unsolved, demonstrating a deep understanding of both past efforts and current needs.$($Substantial evidence of support from both researchers and the community.$)$

$3$ pts

Good

Defines the problem with some reference to existing research and work within the sector. Identifies general gaps that remain unsolved but the support from researchers and the community, is limited$.$ Evidence of endorsements or approval is present but not extensive.

$2\mathrm{.}5$ pts

Fair

Attempts to define the problem but is vague or lacks clarity. Makes minimal reference to existing research or work within the sector and does not adequately identify gaps that remain unsolved.

$1$ pts

Poor

Fails to clearly define the problem. Does not reference existing research or work within the sector, and gaps that remain unsolved are not identified.

$3/5$ pts

PROJECT SCOPE

$3$ pts

Full Marks

The project has a very clear idea of what it will and won't do$.$ It knows exactly what it$$s focusing on and what it$$s leaving out.. Explaining domains which the project will involve and have impact. $($The project clearly explains which areas it will affect and how. It describes the different parts of life or business it will impact in detail.$)$

$1\mathrm{.}8$ pts

Fair

The project has a general idea of what it will and won't do$,$ but some parts are still a bit unclear. Student only somewhat understands its capabilities and limitations of technology to be used. The project gives a general explanation of which areas it will affect, but some parts are still unclear

$1\mathrm{.}2$ pts

Poor

The project is still pretty vague and leaves many questions about what it will or won$$t do$.$ The technology doesn$$t fully explain its capabilities or limitations$.$ The project's impact is vague and doesn$$t cover all the areas it will affect.

$0$ pts

Poor

The project does not clearly define what it will and won't do AND does not clearly explain the technology it will use or its limitations$.$ AND does not explain which areas it will affect or how it will impact them.

$1\mathrm{.}2/3$ pts

SMART OBJECTIVES

$5$ pts

Excellent

Clearly expresses a hypothesis. The concept of solution is SMART: Specific, Measurable, Achievable, Realistic, and Timely

$3$ pts

Good

Hypothesis clearly expressed. The concept of the solution lacks ONE SMART component: Specific, Measurable, Achievable, Realistic, and Timely

$2$ pts

Fair

Hypothesis clearly expressed. The concept of the solution lacks TWO SMART component: Specific, Measurable, Achievable, Realistic, and Timely OR Unclear connection to the problem

$0$ pts

Poor

Missing in all aspects

$3/5$ pts

Model Design

$5$ pts

Excellent

The diagram of the intended model does not describe clearly the input data mapping to the input layer. The output layer doesn't map directly to the class names and class numbers. The description of the diagram is generic, unclear

$3$ pts

Good

The diagram of the intended model does not specify type of in put or a clear map to the input layer OR The output layer doesn't show names$/$number of classes Or The description of the diagram is generic, unclear

$2$ pts

Fair

The diagram of the intended model does not describe clearly the input data mapping to the input layer. OR The output layer doesn't maps directly to the class names and class numbers. Or The description of the diagram is missing

$0$ pts

Poor

Missing Diagram and description

$0/5$ pts

Dataset

$2$ pts

Excellent

Includes $2$ or more links to the source of dataset intended for use

$1\mathrm{.}2$ pts

Good

Includes $1$ link to the source of dataset intended for use

$0\mathrm{.}8$ pts

Fair

Missing dataset but shows general idea of what it would look like$/$ potential sources

$0$ pts

Poor

Missing sources of dataset