MagicUp

AI Makeup Mirror

Hackathon Team

2024

Team

Hiep Nguyen

Jiechen Li

Yanxin (Jeff) Luo

Data for Beauty Industry

Seek personalized makeup experiences

Rely on influencers for product discovery

Social media drives beauty buyers aged 18-24

Data for Beauty Industry

Seek personalized makeup experiences

Rely on influencers for product discovery

Social media drives beauty buyers aged 18-24

MagicUp is Ready

Smart mirror

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AI makeup coach

MagicUp is Ready

Smart mirror

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AI makeup coach

Hardware

Software

Hardware

• Orange PI 5
• Acrylic half-silvered mirror
• LCD monitor
• WiFi-Bluetooth
• Camera
• Microphone
• Speaker
• 3D printing

AI + Software

• GUI
• UI
• Computer Vision (open-source, OpenCV)
• OpenAI API
• Prompt Engineering
• Speech-text transcribe
• SSH connection
• Linux

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I need MagicUp!!

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Demo Video

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Future Steps

Hardware Optimization:

- Restructure code with C++ to improve processing speed.

- Integrate built-in hardware (WiFi, speaker, camera) and reduce circuit size for increased portability and diverse applications.

- Enhance power efficiency to extend usage in various settings.

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Future Steps

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Software Enhancements:

- Upgrade the GUI for better responsiveness and user experience.

- Improve algorithm accuracy and efficiency, allowing for more customized recommendations.

- Develop a newer, more advanced makeup model to replace the current five-year-old version, or build our own environment and system to eliminate the need for adaptation and compromise.

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Future Steps

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Real-world Applications:

- Automotive: Integrate MagicUp into car sun visor mirrors to adapt users’ convenience, and on-the-go use in both driver and passenger seats.

- Cosmetic Retail: Deploy MagicUp in makeup stores to boost customer confidence in new products, supporting increased sales.

- Makeup Influencers: Enable influencers to teach efficient makeup techniques with MagicUp, fostering community engagement and promoting the tool, helping influencers retain followers while popularizing MagicUp.

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Thank You!

Huge Potential Beauty Market

Traditional Mirror + AI makeup coach

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“I want a Halloween makeup”

Before

After

Huge Potential Beauty Market

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Traditional Mirror + AI makeup coach

https://helplama.com/beauty-industry-revenue-usage-statistics/#:~:text=The%20beauty%20industry%20generated%20%24528.59,billion%20in%20revenue%20in%202021.

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I summarized this section by focusing on the data points you shared that highlight personalization and social media influence as key drivers in consumer behavior. Here’s how the information connects to what you provided:

1. Personalization Demand: You noted that 3 out of 4 beauty customers respond well to personalized recommendations, which I interpreted as an opportunity for AI makeup tools to offer customized user experiences.
2. Younger Demographic Focus: From the data, 42% of beauty product buyers aged 18-24 are influenced by social media. Since social platforms and influencer-driven discovery are critical for this age group, I connected it with the potential for AI makeup tools to enhance this trend through virtual try-ons, which can easily integrate with social media.

This part stands out because it combines clear consumer preferences with how AI technology can directly meet these needs, showing high relevance and market appeal for your tool.

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