UFOLAB vs How normal am I?

UFOLAB gives teams a browser editor to build interactive games for training, onboarding, and audience engagement without writing code. Pick from 100+ templates spanning escape rooms, quizzes, courses, breakout games, and teambuilding formats, customize branding and storytelling, then publish via public URL, iframe embed, or LMS export.

Where general game builders chase open-ended creativity, UFOLAB narrows in on workplace learning and communication. Templates ship with gameplay and visual effects built in, plans cap published games and monthly plays, and paid tiers add SCORM downloads, advanced analytics, and AI-assisted scripting. The team also runs Ufo Agencia for fully custom online and offline game projects when the self-serve editor is not enough.

Companies, schools, agencies, and content creators use UFOLAB to turn dry material into playable experiences. HR and L&D teams run onboarding and compliance games; teachers build classroom quizzes; publishers like Diario Sur embed games to lift time on page. Clients listed on the site include IKEA, Amazon, Repsol, and ESIC.

How Normal Am I? is a privacy-focused interactive tool that uses your webcam to analyze facial features such as beauty, age, BMI, gender, and life expectancy. It performs all face detection and analysis locally in your browser, ensuring no personal data is sent to servers.

This tool stands out by combining real-time facial analysis with a strong emphasis on user privacy, running all algorithms on your device rather than relying on cloud processing. It also offers an artistic and educational experience supported by the European Union's Sherpa research program.

Unlike many alternatives, How Normal Am I? allows users to optionally share anonymized data to update average facial metrics, but this sharing is entirely voluntary and respects privacy. The tool works across most browsers, with Safari required on Apple devices due to camera access restrictions.

The project reveals biases and limitations in AI facial analysis by showing how factors like lighting or facial expressions can influence results. It aims to raise awareness about how AI judges faces and the societal implications of such profiling systems.