Clothing Attribute AI
AI / MOBILE / CASE STUDY
An outfit, decoded in under two seconds.
The problem
Clothing attribute classification needed a fast response in an Android experience.
The approach
Built an Android app backed by FastAPI, using LLaMA 3.2 through Ollama. Quantized the model and shortened prompts to reduce inference latency.
How the system connects
- 01Android input
- 02FastAPI service
- 03Quantized model
- 04Clothing attributes
Technology
Outcome & next steps
Reported inference under two seconds on the tested device setup after model quantization and prompt reduction. Performance depends on hardware and input.
Public project links are not available yet.
Built at Prishitech Solutions · Sep 2025–present.