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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
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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:
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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 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:
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Output: https://www.coze.com/store/bot/7413467692973277189?panel=1&bid=6dq4v1t7o9g05
Team 12:
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AI Reminder
Project: smart reminderVideo: https://bytedance.us.larkoffice.com/minutes/obussk95p2pcm33rydo6cwn5?from=from_copylink
Project: AI Reminder
Team Member: Rui Shi TODO-SlidesRyan
Team 13:
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5-Question
Fashion Guessing Game
Video: https://bytedance.us.larkoffice.com/minutes/obussk9nmq26pxvrx21ymzk1?from=from_copylink
Project: kids game for 20 question guess of stylea fashion-related game where the bot asks you 5 questions to guess the fashion theme of an image
Team Member: Sean Lin Sean LinTODO-Slides
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 WooWooJustin 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
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$ 9000 in cash or equivalent gift prizes supported by Bytedance OpenSource
Team 16: Style Me
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
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
Feedbacks
https://www.linkedin.com/feed/update/urn:li:activity:7240042745099075584/