Inspiration

Choosing a university is one of the biggest decisions students make, yet the process is confusing and fragmented. Students must evaluate tuition, living costs, visa requirements, career outcomes, and ROI across multiple sources. We were inspired to build EduPilot AI to simplify this journey and turn scattered information into clear, actionable decisions using AI.

What it does

EduPilot AI is an AI-powered university decision copilot that analyzes a university across key factors such as cost, visa process, career outcomes, and overall recommendation. It transforms complex data into structured insights, helping students quickly understand whether a university fits their goals, budget, and future plans.

How we built it

We built EduPilot AI using:

Streamlit for a simple and interactive frontend

Airia AI Pipeline API for generating intelligent analysis

Python (requests, JSON, regex) for API handling and data processing

We implemented:

A JSON extraction system to parse AI responses

A recursive search function to handle dynamic data structures

Terminal-based debugging to track API behavior and errors

Challenges we ran into

Inconsistent AI outputs (different formats and field names)

Difficulty extracting clean JSON from mixed text responses

API issues like authentication errors (401) and parsing failures

Handling missing or nested data fields across responses

We solved these by building flexible parsing logic and fallback mechanisms.

Accomplishments that we're proud of

Successfully built a working AI-powered decision system

Created a system that adapts to unstructured AI outputs

Designed a clean UI that presents complex insights simply

Integrated real-time AI analysis into a usable product

What we learned

How to handle real-world AI unpredictability

Importance of data normalization and error handling

Building user-focused AI tools, not just models

Debugging API systems and managing end-to-end workflows

What's next for EduPilot AI

Add multi-university comparison

Introduce a decision scoring system (Cost vs Career vs Visa)

Build a multi-agent AI architecture

Personalize recommendations based on user profiles

Expand into a full global education decision platform 🚀

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