About MahMetics
MahMetics is an AI-powered skincare recommendation platform built as a Final Year Project at the Department of CS&IT, University of Lahore. The platform uses machine learning to analyse cosmetic ingredients and recommend the most suitable local Pakistani skincare products based on a user's skin type and concerns — making personalised skincare accessible and science-backed for everyone.
What We Built
ML Recommendation Engine
A multi-label classifier trained on 1,400+ labelled cosmetic products that predicts skin type suitability from ingredient lists.
Local Product Database
Scraped and curated 150+ products from top Pakistani skincare brands with full ingredient transparency.
Full Ecommerce Platform
A complete shopping experience with a skin quiz, product browsing, cart, COD checkout, and admin order management.
Meet the Team
The people behind MahMetics
ML Engineer & Cosmetics Expert
Mahnoor
Mahnoor led the machine learning pipeline for this project — from scraping and cleaning product data across top Pakistani skincare brands, to building the ingredient-based skin type classifier. Her dual expertise in both cosmetic science and data engineering made it possible to bridge the gap between beauty knowledge and AI. She designed the recommendation logic that lies at the heart of MahMetics, ensuring that every suggestion is grounded in real ingredient science.
Frontend & Backend Developer
Ali Imran
Ali Imran architected and built the full-stack web application — from the responsive Next.js frontend to the Supabase backend, admin dashboard, and ecommerce functionality. He translated the project's ML outputs into a seamless user experience, ensuring the skin advisor quiz, product browsing, cart, and order management system all work together smoothly. His engineering work brought the entire vision to life on the web.
Project Supervisor
Muhammad Faiez
This project was completed under the supervision of Muhammad Faiez at the Department of CS&IT, University of Lahore. His academic guidance, structured feedback, and consistent oversight helped the team stay focused and deliver a technically sound final year project. His mentorship ensured that the project met both the academic standards and real-world applicability expected at the university level.
Co-Supervisor & Mentor
M. Ahmad Zia
The vision and direction of MahMetics would not have been possible without the mentorship of M. Ahmad Zia. A recognized expert in Ecommerce and Agentic AI for E-commerce (ahmadzia.com), his industry insight shaped every major decision in the project — from the recommendation architecture to the ecommerce integration strategy. He consistently pushed the team to think beyond academics and build something that works in the real world.
Try the Skin Advisor
Find your perfect skincare match based on your skin type and concerns.
Start Skin Quiz →