EduNexa AI

About the Project

Inspiration

Learning can be difficult when students do not have access to personalized guidance whenever they need it. I wanted to build something that could make studying more interactive, accessible, and personalized.

That idea led me to Edunovix AI, an AI-powered educational assistant designed to help students learn, ask questions, understand difficult concepts, and get study support through an interactive interface.

What It Does

Edunovix AI is designed as a personal AI learning assistant. Students can interact with the AI to ask questions and receive explanations and study guidance.

The goal is not simply to provide answers, but to create a more accessible learning experience where students can use AI as a study companion.

How I Built It

I built Edunovix AI as a web-based application with a frontend interface connected to a backend AI service.

The backend uses the Google Gemini API to process user requests and generate AI-powered responses. I built API endpoints for the application, including a chat endpoint that connects the frontend experience with the AI backend.

The project also uses a modern JavaScript-based development stack, with Node.js, Express, the Google GenAI SDK, and environment variables for API configuration.

Challenges

One of the biggest challenges was connecting the frontend experience with the AI backend reliably and handling API configuration correctly.

I also focused on making the interface feel like an actual learning product rather than just a basic chatbot. This meant thinking about the student experience, organization, usability, and how AI could fit naturally into studying.

What I Learned

Building Edunovix AI helped me understand how AI APIs can be integrated into real applications rather than being used only as standalone tools.

I learned more about backend API development, connecting applications to generative AI, environment configuration, debugging API issues, and designing an AI-powered user experience.

Most importantly, I learned that building an AI product is not only about the model—it is al

Built With

ai
api
artificial
assistant
css
express.js
gemini
genai
generative
google
html
intelligence
javascript
node.js
rest
sdk

Submitted to

GatewayGS Hackathon 2

Created by

I independently designed and developed **EduNexa AI** from concept to implementation.

My contributions included:

* Designing the idea and learning-focused user experience
* Developing the frontend interface
* Building the backend using **Node.js and Express.js**
* Integrating the **Google Gemini API** using the Google GenAI SDK
* Creating and testing the AI chat API endpoint
* Configuring environment variables and API integration
* Debugging frontend-backend communication and API issues
* Improving the interface to make the application feel like an educational product rather than a basic chatbot

I was responsible for the overall development, integration, testing, and iteration of the project.
ALIZA HULIO

Aliza Hulio