What's our idea?
Starting your university journey often comes with a lot of questions. Imagine asking one assistant, and getting answers from hundreds of alumni sharing their own experiences.
Ask the Assistant
Starting your university journey often comes with a lot of questions. Imagine asking one assistant, and getting answers from hundreds of alumni sharing their own experiences.
Ask the Assistant
It brings together the best advice from senior students and alumni, helping you stay informed and take advantage of everything Bocconi and Milan have to offer. And it doesn’t stop there—it’s also a career guide, helping you prepare for internships, job opportunities, and beyond!
Our assistant aggregates information from Bocconi's open web sources to recommend events, send reminders, and help students discover activities that align with their interests.
The assistant offers life hacks from alumni and senior students to help you manage your studies, find apartments, process necessary documents, and maintain work-life balance. It even offers career tips on landing internships or jobs.
Our assistant brings together career advice and job opportunities in one place, offering personalized recommendations based on your field of study. By leveraging the experiences of fellow students and alumni, it provides valuable tips on CV writing, interview preparation, and successfully navigating the job market.
The assistant provides curated educational resources (books, courses, videos), tracks your progress, and offers reminders to help you stay on track.
Our Alumni Network offers you direct access to mentors — experienced professionals ready to answer your questions and guide you. Ask your question, receive real insights, and connect personally with someone who’s been where you are now. Build meaningful relationships and open new opportunities through real conversations.
The AI-Assistant, powered by Retrieval Augmented Generation (RAG), pairs large-language models with live data search to deliver fast, context-aware answers from a structured knowledge base.
Relevant insights are pulled on-the-fly by a retrieval model that unites a vector database and a knowledge graph.
Embeddings speed up semantic search, while the knowledge graph links entities for deeper context.
Our project is focused on creating a robust knowledge base and providing seamless user interaction. Here are the core areas we’re working on:
Gathering firsthand experiences and advice from current students.
Tapping into the expertise of graduates who have navigated university life and the career world.
Aggregating relevant data from university and external sources.
Organizing all the gathered information into a structured, searchable database.
Utilizing retrieval-augmented generation (RAG) to provide contextually relevant responses.
Developing a user-friendly chatbot interface for easy communication and information retrieval.