Working Eye
Developing an MVP for a web-based platform that addresses a crucial gap in career guidance for teenagers to provide personalized educational support.

• Project Management
• Front-End Development
• Quality Assurance
• IBM Watson & Watson Discovery
• React & TypeScript
• Figma, WhatFont, Perfect Pixel, ColorZilla
A multidisciplinary team blending management, development, QA, and business strategy for holistic MVP delivery.
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About the Client

Working Eye is a UK-based initiative supported by IBM Client Engineering. It combines advertising, cost-efficient broadcast media, and AI to revolutionize career discovery for students and adults, offering full educationalist support in a dynamic global job market.
Challenge
• Craft a Netflix-style interactive career-guidance MVP on a tight budget and deadline.
• Build two user flows: profile creation and video viewing, while planning for future scalability across all UK government–listed occupations.
• Develop back-end logic from scratch due to the absence of an existing API, ensuring seamless system integration and database integration.
• Adapt rapidly to significant mid-project design changes from IBM to maintain on-time delivery.
Solution
Choosing the Right Technologies
Our Solution Architect recommended React and TypeScript over HTML/CSS to enhance scalability, cost-efficiency, and future multi-platform support (iOS, Android, Smart TV) for long-term growth.
Web Platform & Chatbot Development
The front-end developer used React Router Dom to implement user flows and integrate with databases. We embedded an IBM Watson chatbot, customized via Watson, Discovery for keyword search and document upload. Initially, the chatbot covered Engineering and Art Designer professions, with further expansion planned.
Rigorous Testing for Optimal Performance
Our QA Engineer conducted manual testing across all workflows and the chatbot. We used WhatFont, Perfect Pixel, and ColorZilla to ensure pixel-perfect alignment with designs, delivering a polished, reliable user experience.
Business
Value
The IBM Watson–powered platform offers tailored recommendations based on profile, interests, and personality, helping 13–14-year-olds make informed educational choices and reducing future career uncertainty.
The MVP’s working prototype, complete with chatbot and personalized guidance, demonstrated viability to investors, showcasing innovation, scalability, and a clear path to funding.
By leveraging React and TypeScript, Working Eye can seamlessly onboard new professions and features, ensuring minimal downtime and continuous platform digital transformation .
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