# rakshitshokeen18-rgb/student-score-prediction-ml architecture

> Architecture diagram of the GitHub repository rakshitshokeen18-rgb/student-score-prediction-ml, generated by GitDiagram from its file tree, README and a sample of source files (last updated 2026-09-26). It is an AI-made overview: check details against the source.

- Interactive diagram: https://gitdiagram.com/rakshitshokeen18-rgb/student-score-prediction-ml
- Repository: https://github.com/rakshitshokeen18-rgb/student-score-prediction-ml

## Overview

This is a small student-score prediction project: users train a linear-regression model and request score predictions from study hours. The README also lists preprocessing and visualization, but the file tree and source excerpts do not establish their implementation paths or wiring, so those relationships are left out. The documented script names are not present in the supplied tree.

## Diagram (Mermaid)

```mermaid
flowchart TD

node_user(("User"))
node_preprocessing["Data preprocessing"]
node_training["Model training"]
node_prediction["Score prediction"]
node_visualization["Visualization"]

node_user -->|"runs train.py"| node_training
node_user -->|"runs predict.py"| node_prediction

classDef toneNeutral fill:#f8fafc,stroke:#334155,stroke-width:1.5px,color:#0f172a
classDef toneBlue fill:#dbeafe,stroke:#2563eb,stroke-width:1.5px,color:#172554
classDef toneAmber fill:#fef3c7,stroke:#d97706,stroke-width:1.5px,color:#78350f
classDef toneMint fill:#dcfce7,stroke:#16a34a,stroke-width:1.5px,color:#14532d
classDef toneRose fill:#ffe4e6,stroke:#e11d48,stroke-width:1.5px,color:#881337
classDef toneIndigo fill:#e0e7ff,stroke:#4f46e5,stroke-width:1.5px,color:#312e81
classDef toneTeal fill:#ccfbf1,stroke:#0f766e,stroke-width:1.5px,color:#134e4a
class node_user toneBlue
class node_preprocessing,node_training,node_prediction,node_visualization toneIndigo
```

## Components

### Other components

- **User**
- **Data preprocessing**
- **Model training**
- **Score prediction**
- **Visualization**

## Connections

- User → Model training: runs train.py
- User → Score prediction: runs predict.py