Project Overview

Vici AI Inc. aims to develop a fully functional prototype web app & website that integrates its proprietary AI models to enhance productivity and reduce complexity in creating work materials for clients. This project combines frontend, backend, and data annotation tasks to achieve the main goal.

Main Goals

• Develop a fully functional prototype web app that integrates Vici AI Inc.'s proprietary AI models
• Enhance productivity and reduce complexity in creating work materials for clients (diet plans, health overviews, meeting notes, knowledge transfer documents, etc.)
• Provide high-quality training data to improve the performance of Vici AI Inc.'s machine learning models

Learning Opportunities

• Frontend development (Figma design implementation, UI/UX design principles, intuitive UI/UX design, color theory, design best practices)
• Backend development (API design, database integration, server-side logic, AI model integration, data processing, API security)
• Data annotation techniques (high-quality training data, data labeling, tagging, categorization)

Application Options

Applicants can choose to work on a single aspect of the project. Please specify your preferred aspect in your application:

• Frontend Development: Focus on developing the user interface and user experience of the web app and website.
• Backend Development: Concentrate on building the server-side logic, API integration, and data processing.
• Data Annotation: Specialize in annotating data to provide high-quality training data for Vici AI Inc.'s machine learning models.

Frontend Development

• Incorporate Figma designs into the web app
• Develop a responsive and intuitive user interface
• Implement AI model integration to automate work material creation
• Conduct user testing and gather feedback

Backend Development

• Design and implement API endpoints for frontend integration
• Develop server-side logic for AI model integration and data processing
• Ensure scalable and secure backend infrastructure
• Implement data storage and retrieval mechanisms

Data Annotation

• Annotate data with high accuracy and consistency
• Work with various data types (text, images, audio)
• Utilize specialized annotation tools and software
• Meet productivity and quality standards
• Collaborate with team members to ensure consistency and quality control

Deliverables

• Fully functional prototype web app with integrated AI models (if working on frontend or backend development)
• Documentation of frontend and backend development, AI model integration, and data annotation
• UI/UX design style guide and user testing report (if working on frontend development)
• System architecture and performance optimization report (if working on backend development)
• Annotated data sets with high accuracy and consistency (if working on data annotation)

By the end of the project, the team should have a prototype that demonstrates the core functionalities and showcases the potential of Vici AI's technology.