MySpeakScore.ai
MySpeakScore.ai is an AI-powered speech evaluation platform designed to help users upload their speaking/audio recordings and receive a structured performance report.
The Situation
What needed fixing.
Users needed a reliable and easy-to-use platform where they could submit speaking recordings and receive clear, structured feedback about their speaking performance. The existing process required better automation, organized report generation, secure submission handling, and a smoother user experience from upload to final results.
What we built
The system we shipped.
A dedicated web application was developed for MySpeakScore.ai using a modern frontend and backend architecture
Frontend
- Built using React.js / Next.js
- Designed a clean and user-friendly interface
- Created smooth upload and report viewing screens
Backend
- Developed using Python / FastAPI
- Handled audio/video submission processing
- Managed report generation and report status tracking
AI Integration
- Integrated AI-based speech evaluation models
- Analyzed uploaded recordings for speaking performance
- Generated structured feedback and scoring reports
API Integration
- Implemented secure REST API communication
- Connected frontend upload flow with backend processing
- Added status polling for report progress and final results
Database
- Stored user submissions, report IDs, statuses, and results
- Managed finalized reports after admin review
Admin Panel
- Added admin review workflow
- Allowed reports to be reviewed before final delivery
- Helped maintain quality and accuracy of results
Deployment
- Hosted the platform on a cloud-based environment
- Ensured scalability, reliability, and future expansion support
- User audio/video submission flow
- AI-based speech evaluation
- Structured SpeakScore report generation
- Admin review and approval process
- Report status tracking
- Secure backend API integration
- Dedicated web application interface
- Scalable hosting and deployment setup
- Clear scoring bands and feedback presentation
The Outcome
What changed afterwards.
The project improved the complete speech evaluation workflow by moving it from a manual or unstable process to a structured AI-powered platform. Users can now submit recordings through a dedicated app, while the backend manages analysis, report generation, and admin review. This created a more professional, reliable, and scalable system for delivering speech performance feedback.
Before
After
Manual or unclear submission process
Dedicated upload workflow
No structured AI evaluation flow
AI-powered speech analysis
Reports needed better formatting
Clear SpeakScore report structure
Limited review control
Admin review before finalization
Less scalable setup
Separate frontend and backend architecture
Inconsistent user experience
Smooth upload-to-results workflow
Stack
What we used.
Screenshots
The interface.
Click any screenshot to enlarge.
FAQ
What the project record answers.
What problem did MySpeakScore.ai solve?
Users needed a reliable and easy-to-use platform where they could submit speaking recordings and receive clear, structured feedback about their speaking performance.
How was MySpeakScore.ai built?
A dedicated web application was developed for MySpeakScore.ai using a modern frontend and backend architecture. Frontend. Built using React.js / Next.js. Designed a clean and user-friendly interface. Created smooth upload and report viewing screens. Backend. Developed using Python / FastAPI.
What were the results of MySpeakScore.ai?
The project improved the complete speech evaluation workflow by moving it from a manual or unstable process to a structured AI-powered platform. Users can now submit recordings through a dedicated app, while the backend manages analysis, report generation, and admin review.
What technology stack was used for MySpeakScore.ai?
MySpeakScore.ai was built with Next.js, React, FastAPI, Python and REST. Coding The Brains selects the stack per project and ships the codebase to the client, who owns it outright.
What would a project like MySpeakScore.ai cost?
Individual project fees are not published. Coding The Brains sells fixed-price packages: a 24-hour Rapid Launch from $5,000, a 5-day Production Launch from $12,000, and a 14-day Enterprise Build from $25,000. Scope, number of integrations, and whether auth, permissions, and audit logging are required determine which package fits.
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