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Velora

Face scanning and an LLM that knows skincare.

role
Team Lead & Full-Stack Developer
timeline
Sep 2024 — Oct 2024
stack
  • Laravel
  • MySQL
  • PHP
  • Python
context
Team of 4, UPI TEKKOM Dies Natalis 2025
award
1st Place — Best Project in Software Engineering, UPI TEKKOM Dies Natalis 2025

Overview

A full-stack skincare-analysis web app. A face-scanning model reads skin concerns and a retrieval-augmented assistant recommends products from a catalogue the admin side maintains; every scan is kept in the user’s history.

Key features

  • Built a Laravel REST API — routing, controllers, authentication middleware — over a normalised MySQL schema for users, skin-analysis results and product recommendations.
  • Integrated a machine-learning model through API endpoints handling image uploads and JSON responses, with end-to-end file validation and error handling.

Results & impact

  • Led the team to a 1st-place win for Software Engineering excellence at UPI TEKKOM Dies Natalis 2025, among more than 10 projects.

// results

Model & system results

// screenshots

Inside the project