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Development of a Scalable Web-Based Career Guidance Platform Utilizing AI and Interactive Features
  1. case
  2. Development of a Scalable Web-Based Career Guidance Platform Utilizing AI and Interactive Features

Development of a Scalable Web-Based Career Guidance Platform Utilizing AI and Interactive Features

knubisoft.com
Education

Identifying the Need for Advanced, Interactive Career Guidance Solutions

The client, a mid-sized educational technology organization, faces challenges in delivering personalized, engaging career guidance for teenagers due to limited existing solutions. They require a scalable, innovative platform to address this gap, with the potential to expand their services to incorporate extensive occupation data from national databases, while working within budget and time constraints.

About the Client

A mid-sized EdTech organization aiming to provide personalized career guidance to teenagers with future scalability to include comprehensive national employment data

Goals for Building a Scalable, Interactive Career Guidance System

  • Develop a web-based platform providing personalized career recommendations for teenagers aged 13-14.
  • Implement interactive features including video content and chatbots to enhance user engagement.
  • Design the system architecture to support future expansion to include all occupations listed in a national careers database.
  • Utilize modern technologies to ensure the platform is scalable across multiple devices including iOS, Android, and Smart TVs.
  • Facilitate investor presentations through a functional MVP demonstrating core capabilities and growth potential.
  • Ensure high-quality user experience through thorough testing and UI/UX refinement.

Core Functional Requirements for the Career Guidance Platform

  • User profile creation and management input forms tailored for teenagers.
  • Video and photo content display focused on selected professions.
  • AI-powered chatbot integrated with a custom database and web search capabilities for real-time information retrieval.
  • Backend logic built from scratch to handle user data, interactions, and future scalability.
  • Responsive design supporting future deployment on multiple device platforms.
  • UI/UX design assistance to ensure an engaging and intuitive user experience.
  • Iterative development approach with comprehensive manual testing and visual QA tools.

Recommended Technologies and Architectural Approaches

React and TypeScript for frontend development
Custom backend logic development for scalability and flexibility
IBM Watson services for AI chatbot integration and database queries
Design tools such as Figma, Perfect Pixel, and ColorZilla for UI/UX refinement

Essential External System Integrations

  • AI-powered chatbot integrated with a knowledge base and web search capabilities
  • Content management system for uploading and managing multimedia resources
  • Future integration pathways for expanding to government career databases

Key Non-Functional System Requirements and Metrics

  • Platform must support scalability to manage increasing user data and content as new professions are added.
  • Robust performance to deliver seamless multimedia and chatbot interactions.
  • Security protocols safeguarding user data, particularly since the target audience is teenagers.
  • Cross-platform responsiveness suitable for web, iOS, Android, and Smart TVs.

Anticipated Business Impact and Growth Potential

The project is expected to significantly enhance personalized career guidance for teenagers, reducing career decision uncertainty and dissatisfaction early in life. The scalable platform will provide a foundation for future expansion, supporting extensive occupation data integration, and offering a compelling demo for investor engagement. This will position the client as a leader in innovative career education technology, fostering increased user engagement and attracting future funding opportunities.

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