DermaQ – AI Skincare Advice Chatbot
An AI skincare chatbot that gives personal advice from expert skincare books, built with OpenAI's GPT model.
- Industries
- Platforms
- Web
- Built with
- OpenAI API
The project
DermaQ is a BeautyTech system that combines skin diagnostics, AI and personalised skincare. For DermaQ we built Lisa AI, a chatbot that gives skincare advice. It asks each user about their skin type, age and main concerns, then searches a library of expert skincare books in PDF form and uses OpenAI's GPT model to write a recommendation based on that material. The first version runs locally, and the design leaves room to connect it to the wider DermaQ platform and its diagnostic data later.
The challenge
- Generic skincare advice ignores a person's skin type, age and specific concerns.
- General-purpose chatbots answer from the open web rather than from trusted dermatology sources.
- DermaQ needed an advice layer that could later plug into its diagnostics platform.
What we built
- A guided conversation that collects skin type, age and concerns before giving advice.
- Retrieval over a curated library of expert skincare books in PDF form.
- Answers written by OpenAI's GPT model from the retrieved book passages.
- A local first version with a modular design ready to move onto the platform.
Screens
Key features
Skin profile questions
The chatbot asks about skin type, age and concerns before it recommends anything.
Expert book library
Recommendations draw on skincare reference books loaded as PDFs.
GPT-written answers
OpenAI's GPT model turns the matched passages into a clear, personal reply.
Ready to expand
The chatbot runs locally today and is built to connect to DermaQ's diagnostics later.
