SONA Tutor

Inspiration

Learning English is difficult for many learners because they often memorize grammar without practicing real communication. I wanted to build a platform that helps learners gain confidence through structured lessons, guided practice, and meaningful AI feedback.

What it does

SONA Tutor is an AI-powered English learning platform that helps learners improve their communication skills step by step.

Key features include:

• Structured English lessons
• Real-life communication practice
• AI-powered answer feedback
• Speaking and interview practice
• Progress tracking
• Secure user accounts

The goal is to help learners move from basic English to confident real-world communication.

How I built it

SONA Tutor was built using:

• Next.js
• React
• TypeScript
• Tailwind CSS
• Supabase Authentication
• Vercel
• OpenAI GPT-5.5
• OpenAI GPT-5.6 Sol
• OpenAI Codex

AI assisted with architecture, implementation, debugging, testing, and refinement, while I made the product decisions, reviewed the implementation, and completed the final deployment.

Challenges

The biggest challenges were creating a scalable lesson architecture, improving authentication flows, designing meaningful AI feedback, and preparing the application for production deployment.

Accomplishments

• Built a production-ready web application
• Designed a structured English learning system
• Created reusable lesson architecture
• Integrated AI-powered learning assistance
• Successfully deployed the application online

What I learned

This project strengthened my understanding of full-stack development, authentication, AI-assisted software development, and designing educational experiences that focus on real-world communication.

What's next

Future updates will include voice conversations, pronunciation evaluation, additional learning modules, more AI-powered practice, and expanded language-learning features.## Inspiration

Built With

• codex
• css
• gpt-5.5
• gpt-5.6
• next.js
• openai
• react
• sol
• supabase
• tailwind
• typescript