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gabAI

Filipino Voice & Video AI Study Companion

Raphael Johnathan Flores
Raphael Johnathan FloresAUTHOR
Team Lead, Full Stack Developer, AI Prompt Engineer · 2026
Agora Voice AI Hackathon 2026 Submission
gabAI feature screenshot
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Interactive Media Grid · Click any screenshot to enlarge (3 photos)

Executive Summary

A Filipino conversational voice and video AI study companion engineered for board and licensure exam examinees, delivering supportive active-recall tutoring in Taglish via Agora RTC.

Problem Context & Challenge
"Board exam reviewees in the Philippines face high review center tuition costs, study burnout, and lack of interactive active-recall practice partners."

Cloud Architecture & System Design

Decoupled architecture combining a React (Vite) and Tailwind CSS frontend with a Node.js/Express backend, orchestrating Agora RTC streaming, Gemini 2.0 Flash reasoning, MiniMax Filipino TTS voice synthesis, and video avatar streaming.

Engineering Highlights

  • Spearheaded team engineering and prompt design for a conversational voice and video tutor submitted to the Agora Voice AI Hackathon Manila 2026.

  • Architected a multi-vendor AI pipeline integrating Gemini 2.0 Flash for domain reasoning, MiniMax for specialized Filipino TTS voice synthesis, and Agora RTC for low-latency bidirectional audio streaming.

  • Engineered a high-fidelity React and Tailwind CSS web application featuring conversational active-recall sessions, glassmorphism dashboard interfaces, and real-time study streak tracking.

Key Features

  • Real-Time Conversational Voice & Video Tutoring via Agora RTC
  • Culturally Tuned Taglish 'Ate/Kuya' Supportive Tutor Persona
  • Multi-Model Pipeline (Gemini 2.0 Flash + MiniMax TTS + HeyGen/Anam Avatar)
  • Active-Recall Review Session Dashboard & Topic Proficiency Metrics

Technologies & Tools Utilized

React
Node.js
Express
Agora RTC
Gemini 2.0 Flash
MiniMax TTS
Tailwind CSS
Vite

Live Demo & External Resources

Collaborators & Teammates

WH
White Canes Team (Group B)Frontend, UI/UX & Voice AI Engineering