Design and Implementation of a Biometric Student Attendance System

Fingerprint-based attendance system that eliminates buddy-punching in Nigerian universities.

About this project

Builds a fingerprint attendance system using an R307 sensor connected to a microcontroller and a web dashboard. Lecturers see real-time attendance, and CGPA-eligibility reports are auto-generated.

Suggested tech stack

Arduino / ESP32
R307 fingerprint sensor
Node.js
MySQL

Chapters 1–5 outline

Chapter 1

Introduction: background to biometric attendance systems, statement of the problem (manual attendance is slow, easily falsified, and hard to audit), 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 biometric attendance systems, gaps in existing studies, and a summary positioning this project.

Chapter 3

Methodology / System Analysis and Design: Arduino/ESP32 + R307 fingerprint sensor + Node.js backend + MySQL. Includes data collection method, system requirements, use-case and architecture diagrams (or population, sample size, and instrument).

Chapter 4

Implementation and Results: a deployed system with hardware prototype and admin dashboard. 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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