HI, MY NAME IS

Favour Olaleru.I Am A Fullstack Developer.

I'm a fullstack developer with a solid grasp of both frontend and backend tech. I create clean, user-friendly interfaces and build scalable, well-structured systems that support smooth, reliable performance.

ABOUT ME

favour

I'm Favour Olaleru

I specialize in building fullstack web applications with clean, intuitive interfaces and robust, scalable architecture. I work with TypeScript and frameworks like React and Next.js on the frontend, while using Node.js, Express and MongoDB to handle the backend and data logic.

I use these tools to create seamless user experiences, integrate third-party APIs, manage data efficiently, and ensure smooth interaction between the client and server. My goal is to deliver well-rounded applications that are responsive, maintainable, and aligned with both user needs and business goals.

In my spare time, I like to research the newest advancements in Artificial Intelligence, read up on Tesla cars, enjoy playing video games, and listen to music.

MY ECOSYSTEM

jsJavaScripttsTypeScriptnextNextJSreactReactJSmuiMaterialUItailwindTailwindCSSnodeNodeJSexpressExpressJSmongodbMongoDBpostmanPostmannetlifyNetlifynpmNPMgitGitgithubGitHubvscodeVSCode

MY PROJECTS

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Hotel Management System

The Hotel Management System is a full-stack web app built with ReactJS and ExpressJS. It features an interactive UI with advanced filtering for room bookings and management. The backend offers efficient CRUD operations via a RESTful API, optimized with MongoDB for fast queries. Built with TypeScript for maintainability, the app is deployed on OnRender.

Built with:
TypeScriptReactJSTailwindCSSMUIExpressJSMongoDB
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AI-Based Image-to-LaTeX System

The AI-Based Image-to-LaTeX System is a backend application built with Express.js that converts mathematical expressions in images into LaTeX code. It uses the Google Gemini API for AI-driven OCR and LaTeX generation. The system supports up to five image uploads at once via Multer.js, and efficiently processes files using Node.js fs module. Error handling and validation are implemented to manage API failures and file issues.

Built with:
JavaScriptExpressJSGoogle Gemini AI
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Recipe App

The recipe app is a web-based application built with React. It utilizes the Edemam API to retrieve and display recipes based on the user search queries. The app features a clean and intuitive user interface that allows users to easily browse and search for recipes by ingredients, diet, cuisine origin and meal type. Deployed to Netlify.

Built with:
ReactJSCSS3Edemam API

CONTACT ME

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