The idea for the Student Assistant Chatbot came from the common struggles students face: missing out on events, struggling to find internships, or feeling lost with Erasmus applications. We wanted to create a single, accessible platform to simplify these challenges—offering students personalized guidance and empowering them to make the most of their university experience.

The Student Assistant Chatbot helps students by: Recommending clubs and events based on their interests and location. Suggesting tailored internship opportunities with real-time updates. Guiding users through Erasmus and study-abroad programs with step-by-step instructions and FAQs. Answering general university-related queries, all through an intuitive, conversational interface.

We used Hexabot’s Low-Code Platform to design conversation flows, integrated custom plugins and APIs for real-time data, and embedded the chatbot into a responsive website. NLU powers its ability to interpret user intents and provide tailored responses.

Data Integration: Ensuring APIs for internships and events provided accurate, up-to-date data. Personalization: Balancing simplicity with tailored recommendations for diverse user needs. Seamless UX: Designing intuitive flows while handling edge cases and unrecognized queries effectively

Successfully created a functional chatbot that simplifies campus life for students. Integrated real-time APIs to provide personalized internship, event, and scholarship recommendations. Designed an intuitive and responsive website interface for seamless user interaction. Overcame technical challenges to deliver a scalable and impactful solution.

How to use Hexabot’s Low-Code Platform to design efficient chatbot flows. The importance of API integration for providing real-time, dynamic data. Balancing user experience with technical complexity to create a seamless interface. Collaboration and time management are key in tackling challenges during development.

Expand API Integrations: Add more sources for scholarships, internships, and events. Multilingual Support: Cater to international and Erasmus students with multiple language options. AI-Powered Recommendations: Use machine learning to improve personalization and predictive suggestions. Mobile App Integration: Extend the chatbot’s functionality to a standalone mobile application for greater accessibility.

Built With

  • and-event-data-other-tools:-hexabot-visual-editor-for-conversation-flows
  • css
  • engine
  • for
  • integrated
  • intent
  • javascript
  • languages:-html
  • nlu
  • node.js-apis:-custom-apis-for-internships
  • scholarships
  • typescript-frameworks/platforms:-hexabot-low-code-platform
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