Nu. is an indie tool built as a personal exploration into multi-modal AI capabilities. Created as a side project to provide practical value while learning, it represents an experiment in bridging the gap between cutting-edge AI technology and everyday utility.
This project was born from a simple curiosity: could I leverage multi-modal models to solve a real-world problem? The result is Nu., a tool that analyzes food images to provide nutritional insights. Under the hood, it's powered by state-of-the-art vision-language models, but on the surface, it's designed to be approachable and immediately useful.
Learning Goals
Building Nu. has been an educational journey into the practical applications of multi-modal AI models. It's a hands-on exploration of how these powerful technologies can be harnessed to create intuitive user experiences that provide tangible benefits in everyday scenarios.
Why I Built This
As someone fascinated by both nutrition and AI, I wanted to create something that merged these interests while pushing my technical boundaries. This project has been a playground for experimenting with prompt engineering, image analysis techniques, and user experience design for AI-powered tools.
Nu. represents my belief that innovative AI technology should be accessible and beneficial in everyday life. It demonstrates how independent developers can leverage powerful models to create practical applications. This project is open for feedback, contributions, and conversations about the intersection of AI and real-world utility.