Computer vision server that generates captions for images using AI.
Project Overview
This is a computer vision captioning backend for image-to-text generation. It accepts image inputs, runs model inference, and returns usable captions for downstream products and experiments.
What I Built
- Image caption generation backend
- Inference-ready server flow
- API-based image processing
- Deployable computer vision service
Problem
Applications that need image understanding often require a dedicated captioning backend, but stitching together model inference, API handling, and scalable serving is where many prototypes stop.
Solution
I built a server that accepts image inputs, runs caption generation, and returns usable text outputs that other apps can build on top of. The goal was to make the captioning capability reusable instead of leaving it as a one-off experiment.
Why It Matters
The project shows practical vision serving work and provides a useful foundation for accessibility features, media tooling, and multimodal applications.
Stack
- Python
- Computer Vision
- API backend
- AI inference
What I Learned
This project reinforced that model quality is only one part of useful ML work.
- reusable backend structure matters for vision tools
- simple API design makes ML features easier to integrate
- serving a model well is different from only running it locally