About this project
Builds a property listing platform with map-based search, saved listings, verified agent profiles, and a lead-capture inbox. Includes anti-fraud verification step for agents.
Suggested tech stack
- Next.js
- Supabase
- Mapbox
Chapters 1–5 outline
Chapter 1
Introduction: background to online property platforms, statement of the problem (online property scams target Nigerian renters and buyers regularly), 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 online property platforms, gaps in existing studies, and a summary positioning this project.
Chapter 3
Methodology / System Analysis and Design: Next.js + Supabase + Mapbox. Includes data collection method, system requirements, use-case and architecture diagrams (or population, sample size, and instrument).
Chapter 4
Implementation and Results: a deployed listing platform with sample verified agents and properties. 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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