This project allow you to chat with AI with multiple pdf documents. Building this project was an amazing journey where I learned how to work with Streamlit for the interface, LangChain for language processing, embeddings for understanding context, and vector stores for super-fast searching.

A cross browser extesion, that makes easy to summarize a whole web page into a short and descriptive summary. I built it using LangChain to process and summarize content with Large Language Models (LLMs). Throughout the project, I learned a lot about how useful LLMs can be in making apps smarter and improving user experience.

Clean Kigali is smart waste management system operated by City of Kigali (CoK), it uses IoT sensor devices to track waste levels and conditions in different areas. while working on this project, I gained more experience in IoT and backend where we used realtime TCP servers, Sockets and Complex backend systems to make sure that the system is engineered.

I've worked on the new ScriptyLabs hosting platform. While deeveloping this it honored my skills in bothe frontend and backend development where we used techonologies such as Nestjs+Prisma and Rust on be and Nextjs on fe. Where we also integrated ai domain search to search a domain based on the user prompt. We used rust and ai intergation technologies to acomplish this.

A stock and assets managment system for Road Maintenance Fund (Rwanda). it has a lot features such as asset mgmnt, stock mgmnt and reports. I was the lead developer on this project where we used different backend and frontend technologies to bring this idea to life, We used NextJS+Nodejs to make develop this project.

While working on this web app I used ReactJS + Nestjs to make it full functioning.