Design and Implementation of an AI-Based Essay Grading System

AI system that grades student essays based on rubric criteria and gives feedback.

About this project

Builds an LLM-powered essay grader that scores essays against teacher-uploaded rubrics and gives line-level feedback. Useful for large Nigerian classrooms.

Suggested tech stack

Python
FastAPI
LLM API

Chapters 1–5 outline

Chapter 1

Introduction: background to automated essay scoring, statement of the problem (manual grading of essays in large Nigerian classrooms is slow and inconsistent), aim and objectives, research questions, scope, significance of the study, and definition of terms.

Chapter 2

Literature Review: theoretical framework, review of related works on automated essay scoring, gaps in existing studies, and a summary positioning this project.

Chapter 3

Methodology / System Analysis and Design: Python + FastAPI + an LLM API. Includes data collection method, system requirements, use-case and architecture diagrams (or population, sample size, and instrument).

Chapter 4

Implementation and Results: a deployed grader with measured agreement against human graders. Presentation of findings, testing, evaluation, and discussion of results.

Chapter 5

Summary, Conclusion and Recommendations: key findings, contribution to knowledge, limitations, and recommendations for further research.

Get this project done — chapters, code, defence support

Final Year writes the full project for you. Original content, on time, with chat support up to defence day.

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