eSkolar — Student Hub Prototype (POC)

A Proof-of-Concept (POC) platform that helps Filipino students discover, understand, and track scholarship opportunities in one centralized hub. This repository showcases the student-facing features only, intended for demo and validation.

⚠️ Prototype Disclaimer
Some features are partially functional or static. Scholarship, profile, and application data are preloaded via Supabase. The AI Chatbot + RAG system is fully functional using real USLS scholarship data (available to their main webpage). POC is not deployed, but can be viewed through the video demo.

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Table of Contents

• Overview
• Tech Stack
• Student Features (POC)
• AI & RAG System
• Data & Limitations
• Purpose of the Prototype

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Overview

eSkolar is a platform built to centralize scholarship discovery, guidance, and application tracking for Filipino students. It combines a browsable scholarship directory, an AI-powered scholarship matching assistant, a student profile hub, and a fully working scholarship chatbot that leverages a retrieval-augmented generation (RAG) pipeline.

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Tech Stack

Frontend / App

• Next.js
• TypeScript
• Tailwind CSS
• Supabase (preloaded demo data)

AI & RAG System

• FastAPI (retrieval backend)
• ChromaDB (vector embeddings)
• GroqAI (LLM)
• Render (Deployment)

RAG Dataset (via Web Scraping)

• USLS (University of St. La Salle) scholarship listings

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Proof of Concept Demo

eSkolar MVP Demo

Proposed Process Flow Diagram

ESkolar Process Flow Diagram

Student Features

1. Student Profile & Portfolio

   • Centralized student academic identity
   • Basic info, academic standing
   • Achievements & awards
   • Extracurriculars & leadership
   • Skills & interests
   • Scholarship-related documents
   • POC Notes: Fields are editable for demo. All records loaded from Supabase. File section may contain placeholder actions.

2. AI-Generated Profile Summary

   • Auto-generated summary of a student’s profile:
     • Academics
     • Credentials
     • Extracurriculars
     • Skills & interests
   • POC Notes: Uses preloaded profile data + LLM summary generation.

3. Scholarship Browse & Search

   • Explore scholarships in a directory with:
     • Text search
     • Filters: course, type, deadline, grade cutoff, location
     • Clear eligibility & award details
     • Quick “See full details” access
     • Match indicators: Strong / Fair / Poor
   • POC Notes: Listings are static/preloaded. Filters and search are functional.

4. eRecommend — AI Scholarship Matching

   • Tailored scholarship recommendations consider:
     • Academic performance
     • Background & demographics
     • Extracurriculars
     • Financial need
     • Relevant courses
     • Location alignment
   • POC Notes: Matching logic is simplified; scoring visuals are for demonstration.

5. Scholarship Application Tracker

   • Track application statuses:
     • Submitted / Under Review / Completed / Accepted / Rejected
   • Compact table of applications and quick view of details
   • POC Notes: Statuses and histories are preloaded.

6. AI-Powered Scholarship Chatbot (Fully Working)

   • 24/7 assistant for scholarship navigation:
     • Answers requirements, deadlines, eligibility
     • Fetches info from USLS scholarship dataset
     • Provides step-by-step guidance
   • Powered by FastAPI + ChromaDB + GroqAI and deployed on Render
   • This is the only fully dynamic, live feature in the POC.

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Data & Limitations

Area	Status
Student Profiles	Preloaded
Scholarship Listings	Preloaded
Application Tracker	Preloaded
Matching System	Partially functional (UI demo)
File Upload	Demo only
Chatbot	Fully functional

Notes:

• The POC uses preloaded demo data stored in Supabase. Some UI elements are demonstrative and not connected to full backend workflows (e.g., file uploads and provider dashboard).
• The AI Chatbot is the primary live component and uses real USLS scholarship data in the RAG pipeline.

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Purpose of the Prototype

This POC aims to validate:

• Student experience and platform usability
• AI-powered scholarship assistance
• Centralized scholarship discovery workflow

About ByteMe!

ByteMe! is a team of student innovators from the University of St. La Salle, composed of student developers and innovators. As students, they combine technical expertise with fresh, user-centered perspectives in solving real educational challenges. Driven by the mission to make scholarships more accessible for all Filipinos, ByteMe developed this prototype as part of being a Finalist (out of 400+ submissions!) in DAP: NextGenPH - Youth Innovators Re-imagining Public Service.

Members:

• Javelona, Ignatius Warren Benjamin — Chief Executive Officer
• Octavio, John Roland — Chief Technology Officer
• Labistre, Josh Dane — Chief Marketing Officer
• Javellana, Jul Leo — Full-Stack Developer
• Tamayo, Raean Chrissean — Full-Stack Developer

Mentor:

• Mary Jade C. Jakosalem, LPT, MBA