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Project Overview:

IPAI

Finding a good book isn’t always easy, especially when algorithms don’t understand what you’re really in the mood for. Traditional recommendation systems tend to miss the mark, overlooking the subtle preferences that shape our reading choices. IPAI (from the Shona word “to give”) steps in as your personal librarian: a conversational book recommendation assistant that gets what you’re looking for and finds it fast. Using natural language processing, it offers tailored suggestions through human-like dialogue, making book discovery feel less like a chore and more like a conversation with the local librarian.
My Role: UX Researcher, UX Designer, NLP Developer

Key results:

Achieved 70% accuracy in returning relevant book matches based on user input.

Scored 79.7/100 on the Chatbot Usability Questionnaire (CUQ), indicating strong functionality.

Supported small talk and user personalisation, improving engagement across multi-turn conversations.