AI Transcription and Meeting Minutes Web App need Web Development

Contact person: AI Transcription and Meeting Minutes Web App

Phone:Show

Email:Show

Location: Tokyo, United States

Budget: Recommended by industry experts

Time to start: As soon as possible

Project description:
"Job Title:
AI-Powered Transcription & Minutes Generation Web App Development (Microsoft Azure + Azure OpenAI)

Overview
We are seeking an experienced development partner to rebuild our existing AWS-based transcription and meeting minutes generation system on Microsoft Azure.
The new system will leverage Azure OpenAI Service to deliver a high-performance, AI-powered web application.
This project involves end-to-end delivery, from Azure infrastructure design and construction to application development, AI integration, and optimization.

Functional Requirements
1. File Upload Function
Support multiple audio and video file formats.

Automatic processing after file upload.

2. Automatic AI Processing
Multilingual Transcription: Use Azure OpenAI Service (Whisper) for text transcription.

Speaker Identification: Separate and identify speakers automatically.

Content Generation: Automatically create:

Bullet-point summaries

Structured meeting minutes

Task lists

3. Editing & Management
Speaker name editing (manual corrections).

Real-time progress display from upload to processing completion.

Bulk download of generated content.

4. Multi-Tenant Security
Organization-based user management and data isolation.

Role-based access control (admin / general user).

Development Scope
Infrastructure Design & Construction
Design and build all necessary Azure infrastructure.

Expected Azure services:

Azure App Service

Azure Functions

Azure Blob Storage

Azure SQL Database or Cosmos DB

Azure AD B2C

Azure Key Vault

Azure OpenAI Service

Client will provide a development Azure account.

Existing AWS-based application source code will be provided.

Application Development
Design and implement front-end, back-end, and database.

Automate CI/CD pipeline setup and deployment.

Integrate and optimize AI functionality (LLM model selection, prompt engineering).

Testing & Release
Unit, integration, and system testing.

Deployment to production environment.

Provided by Client
Existing source code (AWS-based application)

Server environment

Proposal documents

Development environment

Required Skills & Experience
Azure infrastructure design & development

GraphQL / REST API development

JavaScript / TypeScript

[login to view URL] / React

Ruby on Rails

Development using self-deployed Verify

Prompt engineering experience

Budget
$400 – $450 (fixed price)

Ongoing Work
Possibility of long-term collaboration for continued development and feature enhancements." (client-provided description)


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