Project Description
Project Overview
I’m building an AI-powered web platform for ESL/English learners focused on speaking practice and instant feedback.
The platform is already conceptually structured, and the lesson/dialogue content is already created. I am now looking for a developer (or small team) to help build the MVP.
ndCore User Flow
Student logs into the platform
Student sees an image and a short speaking prompt
Language support and example vocabulary are displayed
Student records a short spoken response using their microphone
Speech is converted to text
AI evaluates the response and generates instant written feedback
Feedback focuses on:
clarity
grammar
vocabulary
fluency
task completion
Student progresses through structured level-based speaking activities (A1–B2)
Example Activity
Image prompt: classroom scene
Student task: “Describe what you see in 2–3 short sentences.”
Language support:
“I can see…”
classroom
students
desk
teacher
Example AI feedback:
“Good effort. Your answer is understandable.”
“Vocabulary: appropriate”
“Grammar: mostly accurate”
“Improvement tip: Add one more short sentence.”
Technical Requirements
I’m looking for someone experienced with:
Full-stack web development
AI API integrations
Speech-to-text integration
OpenAI APIs / prompt engineering
Responsive frontend UI
User authentication
Basic progress tracking
Preferred Stack (open to recommendations)
React / Next.js
Node.js
OpenAI APIs
Speech-to-text services (Whisper, Deepgram, Google Speech-to-Text, etc.)
Important Notes
This is not an open-ended AI chat platform.
The lessons are structured and guided.
The feedback system is rubric-style and task-based.
The focus is on speaking practice for English learners.
Educational flow and UX simplicity are very important.
What I’m Looking For
Someone who can help define and build a realistic MVP
Strong communication and product-thinking skills
Experience building AI-assisted educational or interactive platforms is a plus
Ability to recommend practical architecture and scalable solutions
Please include:
Relevant projects or demos
Experience with AI integrations
Suggested approach for the MVP
Estimated timeline a budget range
Looking forward to hearing your ideas.