Curiona
Project Type:
Bachelor Thesis Computer Science at BINUS University
Role:
UI/UX Design
Year:
2025
Project Overview
Curiona is a learning platform built for self-learners who want to master a new topic but struggle to find the right materials. Often, the biggest hurdle in self-education is not the difficulty of the subject, but the overwhelming process of gathering trusted resources. Curiona solves this by acting as a smart centralized hub that instantly finds and organizes relevant learning materials, saving users from endless searching so they can start learning immediately.
Our Approach
We focused on solving the "analysis paralysis" users face when starting a new study journey.
Centralized Discovery: Instead of forcing users to jump between Google, YouTube, and library sites, we consolidated these sources into one search engine.
Curated Quality: We designed the system to filter and present diverse formats—visual (YouTube), textual (Articles), and in-depth (Books)—to cater to different learning styles.
Interactive Guidance: We realized that finding material isn't enough; users often need help understanding it. We integrated an AI helper directly alongside the content to act as a personal tutor.
Key Features
Multi-Source Aggregator: A powerful search engine that pulls top-rated learning materials from YouTube, online articles, and digital books in a single click.
Contextual AI Bot: A built-in chatbot that allows users to ask questions specifically about the material they are reading or watching, explaining difficult concepts instantly.
Visual Learning Roadmap: Unlike standard search engines that give you a messy list of links, Curiona organizes materials into a clear, visual map. This UI guides users step-by-step on what to learn first, ensuring a structured learning path.








