Hi, I’m Stanley Kamau, a Full-Stack Developer with over 4 years of experience building fast, scalable, and user-friendly web and mobile applications. I specialize in creating modern interfaces and reliable backend integrations for startups and businesses.
I excel at turning ideas into production-ready solutions, integrating APIs, and optimizing performance to deliver smooth user experiences. I’m passionate about problem-solving, system reliability, and collaborating with teams to deliver high-impact software.
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AI-Powered MPESA Spending Tracker
Designed and developed a personal finance application that helps users gain clear visibility into their spending habits, specifically tailored for digital transactions through MPESA. The project was built to address a common problem in personal finance: the difficulty of understanding where small, frequent expenses accumulate over time.
The application provides a simple and fast way to track daily spending while leveraging AI to extract transactions from raw MPESA statements and suggest personalized budgeting categories based on user spending patterns. The system prioritizes clarity and minimalism, avoiding complex budgeting rules and instead focusing on making financial behavior visible and actionable.
The platform is built with a modern full-stack architecture using Next.js for the frontend and Spring Boot for the backend, containerized with Docker for easy deployment. AI-powered features are integrated through the Groq API to enable fast transaction parsing and intelligent categorization.
Key Features
AI-powered extraction of transactions from MPESA statements
Automated budget category suggestions based on spending behavior
Clean dashboard showing daily, weekly, and monthly spending trends
Minimal input expense logging for fast daily use
Self-hosted architecture ensuring full data ownership
Tech Stack
Next.js, Spring Boot, Docker, SQLite, Groq API, REST APIs
Repository
https://www.twine.net/signin
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