...

• 10:00 AM - 11:00 AM: Welcome & Discussion with Fashion Industry Experts

  • Fashion industry requirements and use cases, Toula Kountouris, MaxMara, 10 minutes

  • Coze workshop, Zhen Qi , 50 minutes

• 11:00 AM - 04:00 PM: Hackathon Development

  • Zhen Qi will be on site for support

• 04:00 PM - 05:00 PM: Final Presentations (8 minutes per team)

  • Judges

    • Christine Robson Weaver, Product Lead for Google Search Quality, Google

    • Tha KSRay Sikka, CEO, Sentitel Inc.

    • Toula Kountouris, Stylist, MaxMara

    • Leila Sabeti, Chief AI Solution Architect, SMG Americas AI Solution Team, Intel

    • Ellen Anders, research/writer fashion and designer

    • . GaryZhen , Developer Operation Manager, Coze

    • Pushkar Chennu, Principal AI Engineer, Target

...

Team 1: Nezha Conquers the Dragon King

Video: https://bytedance.us.larkoffice.com/minutes/obussksdsh6mpb5478a5af4x?from=from_copylink

Project: Voice AI Agent with robot arm

Team Members: James Liu, Ping Zhou, Tina Tsou

...

Team 2: Hongjie Dong

Project: tbd

Team Members: Hongjie Dong

Note: didn’t present.

Team 3: Kevin Yang

Project: tbd

Team Members: Kevin Yang

Note: didn’t present.

Team 4:Qi Tang

Project: On site AI agent services

Team Members: Qi Tang

Note: didn’t present.

Team 5:

...

Genisys

ProjectVideo: https://wwwbytedance.us.linkedinlarkoffice.com/in/tomqin93/minutes/obusskz6sz8ggcau284115b6?from=from_copylink

Project: Chat with your IoT devices

Team Members: Tom Qin

https://docs.google.com/presentation/d/1pMxO5hTo020HjkzSSeTW-w9BkPKbEtvq2jP8MeV2JBU/edit?usp=sharing

Team 6: Wenhui Zhang

Project: Secure processing your prompts for fashion design

Team Member: Wenhui Zhang

Note: didn’t present.

Team 7: D'laila Pereira

Project: AI fashion recommender for a store based on my picture upload

Team Member: D’laila Pereira

Note: didn’t present.

Team 8: Mark Iskra

Project: Logistic support

Team Member: Mark Iskra

Note: didn’t present.

Team 9: Yiqin Yuan

Project: tbd

Team Member: Yiqin Yuan

Note: didn’t present.

Team 10: Style Guru

Video: https://bytedance.us.larkoffice.com/minutes/obuszjjow85p3koroxl1hnn3

Project: fashion styling

Team Member: Sunil Ravipati

Team 11: Team Pacific

Video: https://bytedance.us.larkoffice.com/minutes/obusskfck3gxgh123c561855?from=from_copylink

Project: Getting to know your customer

Team Member: Joseph Karam, Adeeb Karam

Team

...

Project: smart reminder

Team Member: Rui Shi

TODO-Slides

Team 13: Guess Fashion Style

Project: kids game for 20 question guess of style

Team Member: Sean Lin

...

16: Style Me

Video: https://bytedance.us.larkoffice.com/minutes/obussk7yvht67xm516854kbw?from=from_copylink

Project: AI bot that would help me to build a wardrobe based on my trip or event context. It should help me to complete my outfit based on a picture I’ll upload and suggest where I can get it.

Team Member: Dipika Jain, Margarette Ell-Kesselman

Slides:

Output: https://www.coze.com/store/bot/7413467692973277189?panel=1&bid=6dq4v1t7o9g05

Team 12: AI Reminder

Video: https://bytedance.us.larkoffice.com/minutes/obussk95p2pcm33rydo6cwn5?from=from_copylink

Project: AI Reminder

Team Member: Ryan

Team 13: 5-Question

Fashion Guessing Game

Video: https://bytedance.us.larkoffice.com/minutes/obussk9nmq26pxvrx21ymzk1?from=from_copylink

Project: a fashion-related game where the bot asks you 5 questions to guess the fashion theme of an image

Team Member: Sean Lin Sean Lin

https://docs.google.com/presentation/d/1.GXAujAZLtn 5lxvxeuaMlg8AhtleXyi GXVVDBİG 5ZE4/edit#slide=id. g2895412f026_0_63

Demo:

https://www.coze.com/store/bot/7413465793570144262?panel=1

Team 14: Fashion Buyer

Project: A simple but useful bot - Send it a photo, it suggests style improvements and cheap ways to buy it

Team Member: Justin WooJustin woo

TODO-Slides

Team 15: Get me outfitted

Video: https://bytedance.us.larkoffice.com/minutes/obusskf4m4518y36b4gh4u63?from=from_copylink

Project: An AI bot which recommends user outfit based on body type, preference and event context, and generates image based on the recommendation to visualize options.

Team Member: Sheik Mohamed Imran

TODO-Slides

Results

• ​$ 9000 in cash or equivalent gift prizes supported by Bytedance OpenSource

  • 1st place: $5000 goes to Team Style Me

  • 2nd place: $3000 to Team 5-Question

  • 3rd place: $1000 to Team Nezha Conquers the Dragon King

   

• $ 5000 in credits for VivGrid ( Geo-distributed AI inference cloud ) 

  • 1st place: $2500 credits ( for OpenAI API ) goes to Team Nezha Conquers the Dragon King

  • 2nd place: $1500 credits ( for OpenAI API ) goes to Team Pacific

  • 3rd place: $1000 credits ( for OpenAI API ) goes to Team Get me outfitted

AI meeting notes

AI meeting notes are generated from the meeting recording and may not reflect the views or positions of our platform. Please review them carefully.

Summary

The meeting discussed AI for developers, its application in fashion, and related projects, the main contents included:

• AI in Fashion: The application of AI in the fashion industry, such as solving fashion problems and generating images.

• Codes Platform: The functions and features of the codes platform, as well as its benefits in the workflow.

• Hackathon: The judging criteria and prizes for the hackathon, and the process of teaming up and presenting work.

• Projects Showcased: Various AI projects, including an AI fashion recommender, a style guru app, and a t network assessment.

• Challenges and Potential: The challenges and potential of AI in different fields, such as data analysis and user experience.

Chapters

00:00 Meeting Kickoff

Meeting Kickoff

10:45 AI in Fashion and Simplified AI Development for Developers Hackathon

This section is about the AI for developers meeting hackathon. It begins with an introduction to the event and its focus on building AI solutions in the fashion industry. Speakers discuss merging AI with client experiences in stores, its differences from existing apps, and potential features like body scanning. Later, Gary Qi introduces the codes website and workshop, highlighting its aim to simplify AI development, various use cases, and the quick process of building AI agents with features and publishing options.

31:35 Introduction and Overview of AI Code Platform and Hackathon Details

This section is about various aspects of an AI-related product called codes. It covers user cases, features like CRM integration, image generation, knowledge upload, database use, and workflow. Talks about pricing, model options, publishing options, and judging criteria for a hackathon. Encourages building AI agents, offers resources, and answers questions related to its usage and functionality.

01:10:16 Discussions on Hackathon, Prizes, Fashion Problems and AI Solutions in Development

This section is about a hackathon event. It covers various aspects such as the hackathon's schedule, on-site and remote participation, support availability, rules, prizes, and discussions on application development using tools and endpoints. Participants also talked about fashion-related problems that could potentially be addressed with AI.

01:53:55 Discussions on Various Topics including Fashion, Technology, and Personal Experiences

This section contains a wide-ranging and chaotic discussion involving various topics such as fashion, TikTok, social media, personal experiences, medical care, language learning, and technology. Participants discuss fashion trends, TikTok's influence, and share personal stories related to careers, family, and health. They also touch on issues like the regulation of big tech companies and the use of AI in different fields. The conversation is complex and jumps from one topic to another frequently.

03:53:59 Discussions on Technical Issues and Optimization in Various Systems

This section involves discussions on various technical aspects such as encoding methods, system optimizations, case handling, and comparisons with different tools like ChatGPT. Also mentioned are issues with business accounts, software versions, and potential improvements related to various systems and functions.

04:12:10 Discussions on TikTok Workflow, AI Adoption, and Related Topics

This section presents a complex and diverse discussion about various aspects related to TikTok, involving issues such as image input and workflow, API usage, user uploads, and questions regarding its technical and business aspects. Participants also talk about possible solutions, features, and comparisons, along with sharing experiences and exploring future developments.

05:46:31 Discussions and Presentations on TikTok and Related Topics

This section is a chaotic and fragmented discussion related to TikTok, covering various aspects such as ideas, work progress, judging criteria, presentations, and features like voice AI agents and robot interactions. Participants discuss plans, share experiences, and have diverse exchanges but the conversation is disorganized and hard to follow clearly.

06:16:59 Integration of Language Models and Robotics in Various Projects and Presentations

This section is a transcript of a meeting discussing various topics including controversial content faced by substock, tech highlights from CES 2024, Tesla's plans, robot control capabilities, language models, integration of robotics and large language models, and projects involving devices and control interfaces. Presentations on these subjects were made and the possible future of human-machine interaction was explored.

06:31:21 Fashion and Style-Related AI Applications and Demonstrations

This section covers various discussions on fashion and style-related applications. It includes features like outfit recommendations based on wardrobe and travel scenarios, analyzing customer style for better sales assistance, and considerations for personalization and cultural diversity. There are also discussions on developing and using reminder apps with different functionalities and challenges encountered.

07:25:18 Discussions and Presentations on AI Applications in Various Fields

This section contains discussions on various aspects related to children's education, fashion, and technology. It covers topics like teaching kids different interests including fashion and coding, a fashion-related application for retail assistance, its setup and capabilities, body type considerations, potential enhancements, and results of a hackathon with presentations and awards. Also, there's talk about edge computing and future events on AI.

Meeting Recording

https://bytedance.us.larkoffice.com/docx/CYBZdGyG2oygDLxD2WuuAopEsBf?from=from_copylink

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