5. The Google Developer Student Clubs 2023 Solution
Challenge mission is to solve for one of the United
Nations’ 17 Sustainable Development Goals using
Google technology.
Created by the United Nations in 2015 to be achieved
by 2030, the 17 Sustainable Development Goals (SDGs)
agreed upon by all 193 United Nations Member States
aim to end poverty, ensure prosperity, and protect the
planet.
Solution Challenge is an international hackathon
Overview
6. 17 Sustainable Development Goals
In 2015, the United Nations
adopted the 17 Sustainable
Development Goals (SDGs),
addressing some of the
world’s biggest challenges in
an interconnected way.
7. January May June July
Registration is open!
December 1
Submissions Open
January 21
Kickoff Event
January 11
Solution Challenge Demo Day
Winning 3 Announced
June 27
Top 100 Announced
Early April
Judging Round 1
March
Judging Round 2
May
Timeline
February March April
December
Submissions Close
February 22
Top 100 Resubmit
April 29 - May 5
Final 10 Announced
Late May
Learn & Build Phase Demo Day Prep
Mentorship Phase
8. Eligibility
Who can participate?
● University students (undergraduate and
graduate)
● Above the age of majority in the
country, state, province, or jurisdiction
of residence (often this age is 18 years
old)
● Open to any GDSC members (including
leads and core team)
● Each person can only join one team
Team Building Rules
● Teams can be 1 - 4 people (no more than 4)
● At least 1 person on the team must be a GDSC
member. Team Representative must be a GDSC
member (they will submit their team’s project)
● Team members can be from
○ Different universities
○ Different GDSC chapters
○ Different countries
9. Timeline Checklist
❏ Step 1: Join a Google Developer Student Club (anytime!)
❏ Step 2: Start hosting info sessions, hackathons, and design days (only for Core Team / Lead)
❏ Step 3: Form a team (December)
❏ Step 4: Select United Nations Sustainable Development Goals (December)
❏ Step 5: Identify a Solution (December)
❏ Step 6: Learn & build (January)
❏ Design the front-end interface
❏ Design the back-end technology
❏ Step 7: Test your solution (January - February)
❏ Step 8: Iterate (January - February)
❏ Step 9: Record a demo video and submit project between January 21 and February 22nd
❏ Step 10: Top 100 solutions announced (Early April)
❏ Step 11: Top 100 mentoring (April)
❏ Step 12: Top 10 finalists announced (Late May)
❏ Step 13: Top 3 winners announced live on YouTube (June 27)
❏ Step 14: Celebrate all the 2023 Solution Challenge participants!
Design & Build
Submissions &
Judging
December - February
February - June
🏆
🛠
🙇
🏾
♀️
Getting Started
November -
December
10. Submission Criteria
Project Setup
1. Please clearly describe
the challenge you are
solving for using a
problem statement.
(5 POINTS)
2. What United Nations'
Sustainable Development
goal(s) AND target(s) did
you choose for your
solution? What inspired
you to select these
specific goal(s) AND
target(s)?
(5 POINTS)
Implementation
3. Describe the architecture
that your team chose for
your solution. What are the
high-level components of
your architecture? What is
the responsibility of each
component?
(5 POINTS)
4. Which specific products
and platforms did you
choose to implement these
components and why?
(5 POINTS)
Feedback / Testing / Iteration
5. Feedback from users, testing, & iteration
●Walk us through the steps you took to test
your solution with real users (outside of
your team). Provide three specific
feedback points you received from real
users.
●What did you learn and how did it help
improve your solution? What are three
specific things you implemented and
improved for your solution based on the
feedback from users?
(5 POINTS)
6. Code testing and iteration
●Highlight one challenge you faced while
building your code, including detail on how
you addressed the issue and the technical
decisions and implementations you had to
make.
(5 POINTS)
Success & Completion of Solution
7. How does your solution address the
challenge you are looking to solve for? Describe
the success of your solution using metrics,
goals, and outcomes. What Google
technologies are you using to track usage
analytics? Using relevant (or meaningful)
statistics, concrete data or numerical examples
where possible. Or, where numbers aren’t
possible to use, please describe your project’s
impact using cause and effect.
(5 POINTS)
8. Upload a copy of your demo video
(maximum 2 minutes). Make sure the video
demonstrates a working application and how a
user will interact with the solution. Make sure
the video also makes effective use of the
chosen Google products. Feel free to include
infographics or visual representation of the data
in your demo video.
(5 POINTS)
Scalability
9. What do you see as the
future / next steps for your
project? How would you
expand your solution to
reach a larger audience?
(5 POINTS)
10. Explain how the
technical architecture of
your solution could support
(in its current state or with
minor changes) scaling to a
larger audience.
(5 POINTS)
These are the questions on the submission form that you will be asked to provide responses for.
11. Judging Criteria
Impact - 25 Points
1. Does the entry establish a clear challenge using their problem statement?
(5 POINTS)
2. Do they explain clearly which UN Sustainable Development goals and
targets they chose for their solution and why? (5 POINTS)
3. Feedback from users, testing & iteration (5 POINTS)
a. Does the team clearly describe three feedback points they
received from real users and the steps they took to test them?
b. Is there evidence of what the team learned and how the solution
was iterated upon based on user feedback?
4. Does the solution address the challenge (and problem statement)
identified by the team? Does the team adequately describe the success of
their solution using metrics, goals, and outcomes, or through cause and
effect? (5 POINTS)
5. Is there evidence of next steps? Does the team display a clear plan for
future extension to a larger audience if they were to continue? (5 POINTS)
Technology - 25 Points
1. Does the team clearly describe the following: architecture, high-level components,
responsibility of each component, specific products and platform they implemented?
Has the team clearly explained what Google technology they used and why? (5 POINTS)
2. Does the solution implement all the technical components needed to solve the
challenge? (5 POINTS)
3. Code testing and iteration (5 POINTS)
a. Does the team highlight one challenge they faced while building their code, how
they addressed the issue, and the technical decisions and implementations
they had to make? Did the team include guidance on running their code?
4. Does the video demonstration show an actual working application (not a mockup) and
how a user will interact with the solution? Does the demo show how the solution makes
effective and appropriate use of the features of the chosen Google technology or
platform? (5 POINTS)
5. Can the solution, in its current form or minor structural changes, support more users and
increased scale? (5 POINTS)
A panel of judges from Google will use the following criteria to evaluate and score all submissions.
13. Prizes
Top 100
Receive customized
mentorship from
Googlers and
experts to take
solutions to the next
level, a branded T-
shirt, and a
certificate.
Final 10
Receive additional
mentorship, a swag
box, and the
opportunity to
showcase solutions
to Googlers and
developers all
around the world at
Demo Day live on
YouTube.
Leads from top 10
receive swag box!
Contest
Finalists
In addition to the
swag box, each
individual from the
additional seven
recognized teams
will receive a Cash
Prize per student.
Winnings for each
qualifying team will
not exceed $4,000.
Winning 3
In addition to the
swag box, each
individual from the
Winning 3 teams will
receive a Cash Prize
and a feature on the
Google Developers
Blog.
Winnings for each
qualifying team will
not
exceed $12,000.
19. Discover, Design, Develop : ML Content
Week Content
Week 1 ● Generative AI for Developers Learning Path
Week 2 & 3 ● Intro to Machine Learning
● Pandas
Week 4 ● Intermediate Machine Learning
● Feature Engineering
● Intro to Deep Learning
● Computer Vision
Week 5 ● Time Series
● Intro to AI Ethics
Note : these are suggestions and you could leverage other content online based on your preference.We will not be tracking course completions,so
not to worry on that.
20. Discover, Design, Develop : Android Content
Week Content
Week 1 ● Android Basics with Compose - Introduction to programming in Kotlin
● Building App UI - Android Basics with Compose
Week 2 ● Android Basics with Compose | Display lists and use Material Design
● Android Basics with Compose | Navigation and app architecture
Week 3 ● Android Basics with Compose | Connect to the internet
● Data persistence - Android Basics with Compose
Week 4 ● WorkManager - Android Basics with Compose
● Compose with Views | Android Developers
Note : these are suggestions and you could leverage other content online based on your preference.We will not be tracking course completions,so
not to worry on that.
21. Discover, Design, Develop : Flutter Content
Part 1 : Install
1) Try playing with DartPad, the online editor for Flutter
and Dart
2) Install Use the installation guides to help get your
environment ready
Part 2 : Explore about Flutter
3) Get to know the Flutter docs
4) Visit the samples gallery
5) Get a feel for Dart code
6) Coming from another SDK or language?
● Flutter conversion guides
● What Makes Flutter Different
● Using hot reload
Part 3 : Explore Dart & Flutter
7) Learn about Dart
● Visit Dart.dev the official site for Dart
● Learn why Flutter uses Dart
● Complete the Dart cheatsheet codelab
8) Everything's a widget!
● Read the Introduction to Widgets
● This guide explains how to compose layouts with widgets
Lot more here…
22. Discover, Design, Develop : Web Content
Lot more here…
Week Content
Week 0 Get started with basics of HTML
[Alternate Source] Introduction to HTML (mdn web docs)
Week 1 Get started with basics of CSS
[Advanced | Optional] Learn Responsive Design
Week 2 and 3 Get started with Angular
[Advanced | Optional] Optimize your Angular Website
Firebase for Web
Week 4 Get started with Firebase :
Basics :
● Learning Pathway: Build your first web app with Firebase
○ Codelab: Get to know Firebase for web
● Video: Getting Started with Firebase for web
● Documentation: Add Firebase to your JavaScript project
● Codelab: Firebase for web
25. Manpreet Kaur
GDSC Lead
Google Developer Student Club
Mata Sundri College for Women
Yusra
Tech Lead
Google Developer Student Club
Mata Sundri College for Women
Vibhuti Gupta
Content Lead
Google Developer Student Club
Mata Sundri College for Women
Ankita Bhanglia
Social Media Lead
Google Developer Student Club
Mata Sundri College for Women
Editor's Notes
AI on Cloud topics
Generative AI [Gen App Builder] - For Developers: how to deliver enterprise search and conversational experiences using generative ai technologies
Vertex Ai - for Developers: get started and to build, deploy, and manage foundation and custom models in the cloud.
Machine Learning Topics
Keras Core, KerasCV/KerasNLP - Keras is an open source high-level deep learning library running on top of TensorFlow, PyTorch and JAX. It provides a simple and modular interface for building deep learning models. With the release of Keras Core, KerasCV and KerasNLP, it will help building and deploying deep learning models even further.
MediaPipe - "MediaPipe Solutions provides a suite of low-code libraries and no-code tools to enable non-ML developers to train and deploy custom on-device ML solutions across platforms: web, Android, iOS and Python. In this workshop, we'll learn what MediaPipe Solutions offer, and how to get started using it. This workshop is for web, mobile and Python developers who want to integrate machine learning into their apps without having to spend months to learn machine learning. "
SimpleML - Learn how to use the Simple ML Addon for Google Sheets to predict missing data, identify anomalies in your data, and predict future data. You don't need to understand ML or even know how to program to use Simple ML.
PaLM & MakerSuite - An introduction to Large Language Models using the PaLM API and MakerSuite. This is the easiest way for developers to get started with Generative AI. Join us to learn more, and for resources you can use to teach developers about these tools in your community.
Android topics - see links in the slide
Firebase Topics
Firebase Authentication - How to implement a smooth onboarding flow with Firebase Anonymous Authentication, and how to securely authenticate users with Firebase's authentication providers, such as Email/Link, Google Sign-In, Sign in with Apple, and other federated identity providers, and how to integrate multi-factor authentication with time-based one-time passwords (TOTP)!
Firestore advanced queries - Simplify your data design and embrace complex queries! The Firestore SDK makes it easy and intuitive to retrieve only the data you need–when you need it.
Firebase in a Next.js web app - How to use a variety of Firebase services to build a restaurant review app in Next.js. Also, you'll explore how to use the web app through the Firebase Hosting emulator.
Firebase extensions - How to use AI-related Firebase extensions to create experiences for users. Interact with the Google PaLM API to answer queries, a Vision API to process videos, and more.
Web topics:
Baseline - The Web Platform Baseline consists of features that are natively supported in the core browser set for at least two major versions. That’s all current and previous major versions of Chrome, Edge, Firefox and Safari. Our goals for Interop are: 1) Build shared understanding around developer needs and interop issues, 2) Provide visibility into the status quo and progress on addressing it.
Authentication: Passkeys + FedCM - After years of work, we’re finally ready to retire passwords, creating simpler, smoother, and more secure experiences for your users that seamlessly across all the major platforms. This session will detail the benefits of passkeys, how to use them to deliver streamlined authentication flows, and how to evolve your identity stack to embrace this new technology.
Performance: Core Web Vitals top recommendations + INP - It seems there are about as many ways to improve web performance as there are websites themselves. Don't get overwhelmed! Learn about the 9 areas that the Chrome team has identified as the most effective opportunities to improve Core Web Vitals.
Advanced Apps: WASM & WebGPU - WebAssembly (Wasm) is a low level, high-performance binary format for the web, which can be compiled from languages such as C++, Swift, Dart, & Kotlin. In this talk we’ll showcase new developments in language support, usability, and increased performance. WebGPU is a new Javascript API bringing more featureful access to the GPU while being more idiomatic to JavaScript. WebGPU is now being released in Chrome so websites can start relying on it. This session will describe WebGPU's history, show demos covering various aspects of how WebGPU improves compared to WebGL, the current alternative, and give a sneak peek at what's next in the future for WebGPU.
What's New in Chrome Extensions - Learn from the Chrome Extensions team as they share some recent changes made to the extensions platform to improve security and privacy. Get the latest updates on Manifest V3 and the commitments Google is making to extension developers. Get a look at some exciting new features, including a new extension menu, a redesigned Chrome Web Store, and the upcoming Side Panel API.
How to optimize web responsiveness with Interaction to Next Paint - Dive into Interaction to Next Paint (INP), the newest performance metric in the Web Vitals program. Learn from the Chrome team how INP works and see how to use it to diagnose input responsiveness issues. One third of websites still struggle to meet the 200ms threshold for "good" INP.
AI on Cloud topics
Generative AI [Gen App Builder] - For Developers: how to deliver enterprise search and conversational experiences using generative ai technologies
Vertex Ai - for Developers: get started and to build, deploy, and manage foundation and custom models in the cloud.
Machine Learning Topics
Keras Core, KerasCV/KerasNLP - Keras is an open source high-level deep learning library running on top of TensorFlow, PyTorch and JAX. It provides a simple and modular interface for building deep learning models. With the release of Keras Core, KerasCV and KerasNLP, it will help building and deploying deep learning models even further.
MediaPipe - "MediaPipe Solutions provides a suite of low-code libraries and no-code tools to enable non-ML developers to train and deploy custom on-device ML solutions across platforms: web, Android, iOS and Python. In this workshop, we'll learn what MediaPipe Solutions offer, and how to get started using it. This workshop is for web, mobile and Python developers who want to integrate machine learning into their apps without having to spend months to learn machine learning. "
SimpleML - Learn how to use the Simple ML Addon for Google Sheets to predict missing data, identify anomalies in your data, and predict future data. You don't need to understand ML or even know how to program to use Simple ML.
PaLM & MakerSuite - An introduction to Large Language Models using the PaLM API and MakerSuite. This is the easiest way for developers to get started with Generative AI. Join us to learn more, and for resources you can use to teach developers about these tools in your community.
Android topics - see links in the slide
Firebase Topics
Firebase Authentication - How to implement a smooth onboarding flow with Firebase Anonymous Authentication, and how to securely authenticate users with Firebase's authentication providers, such as Email/Link, Google Sign-In, Sign in with Apple, and other federated identity providers, and how to integrate multi-factor authentication with time-based one-time passwords (TOTP)!
Firestore advanced queries - Simplify your data design and embrace complex queries! The Firestore SDK makes it easy and intuitive to retrieve only the data you need–when you need it.
Firebase in a Next.js web app - How to use a variety of Firebase services to build a restaurant review app in Next.js. Also, you'll explore how to use the web app through the Firebase Hosting emulator.
Firebase extensions - How to use AI-related Firebase extensions to create experiences for users. Interact with the Google PaLM API to answer queries, a Vision API to process videos, and more.
Web topics:
Baseline - The Web Platform Baseline consists of features that are natively supported in the core browser set for at least two major versions. That’s all current and previous major versions of Chrome, Edge, Firefox and Safari. Our goals for Interop are: 1) Build shared understanding around developer needs and interop issues, 2) Provide visibility into the status quo and progress on addressing it.
Authentication: Passkeys + FedCM - After years of work, we’re finally ready to retire passwords, creating simpler, smoother, and more secure experiences for your users that seamlessly across all the major platforms. This session will detail the benefits of passkeys, how to use them to deliver streamlined authentication flows, and how to evolve your identity stack to embrace this new technology.
Performance: Core Web Vitals top recommendations + INP - It seems there are about as many ways to improve web performance as there are websites themselves. Don't get overwhelmed! Learn about the 9 areas that the Chrome team has identified as the most effective opportunities to improve Core Web Vitals.
Advanced Apps: WASM & WebGPU - WebAssembly (Wasm) is a low level, high-performance binary format for the web, which can be compiled from languages such as C++, Swift, Dart, & Kotlin. In this talk we’ll showcase new developments in language support, usability, and increased performance. WebGPU is a new Javascript API bringing more featureful access to the GPU while being more idiomatic to JavaScript. WebGPU is now being released in Chrome so websites can start relying on it. This session will describe WebGPU's history, show demos covering various aspects of how WebGPU improves compared to WebGL, the current alternative, and give a sneak peek at what's next in the future for WebGPU.
What's New in Chrome Extensions - Learn from the Chrome Extensions team as they share some recent changes made to the extensions platform to improve security and privacy. Get the latest updates on Manifest V3 and the commitments Google is making to extension developers. Get a look at some exciting new features, including a new extension menu, a redesigned Chrome Web Store, and the upcoming Side Panel API.
How to optimize web responsiveness with Interaction to Next Paint - Dive into Interaction to Next Paint (INP), the newest performance metric in the Web Vitals program. Learn from the Chrome team how INP works and see how to use it to diagnose input responsiveness issues. One third of websites still struggle to meet the 200ms threshold for "good" INP.
AI on Cloud topics
Generative AI [Gen App Builder] - For Developers: how to deliver enterprise search and conversational experiences using generative ai technologies
Vertex Ai - for Developers: get started and to build, deploy, and manage foundation and custom models in the cloud.
Machine Learning Topics
Keras Core, KerasCV/KerasNLP - Keras is an open source high-level deep learning library running on top of TensorFlow, PyTorch and JAX. It provides a simple and modular interface for building deep learning models. With the release of Keras Core, KerasCV and KerasNLP, it will help building and deploying deep learning models even further.
MediaPipe - "MediaPipe Solutions provides a suite of low-code libraries and no-code tools to enable non-ML developers to train and deploy custom on-device ML solutions across platforms: web, Android, iOS and Python. In this workshop, we'll learn what MediaPipe Solutions offer, and how to get started using it. This workshop is for web, mobile and Python developers who want to integrate machine learning into their apps without having to spend months to learn machine learning. "
SimpleML - Learn how to use the Simple ML Addon for Google Sheets to predict missing data, identify anomalies in your data, and predict future data. You don't need to understand ML or even know how to program to use Simple ML.
PaLM & MakerSuite - An introduction to Large Language Models using the PaLM API and MakerSuite. This is the easiest way for developers to get started with Generative AI. Join us to learn more, and for resources you can use to teach developers about these tools in your community.
Android topics - see links in the slide
Firebase Topics
Firebase Authentication - How to implement a smooth onboarding flow with Firebase Anonymous Authentication, and how to securely authenticate users with Firebase's authentication providers, such as Email/Link, Google Sign-In, Sign in with Apple, and other federated identity providers, and how to integrate multi-factor authentication with time-based one-time passwords (TOTP)!
Firestore advanced queries - Simplify your data design and embrace complex queries! The Firestore SDK makes it easy and intuitive to retrieve only the data you need–when you need it.
Firebase in a Next.js web app - How to use a variety of Firebase services to build a restaurant review app in Next.js. Also, you'll explore how to use the web app through the Firebase Hosting emulator.
Firebase extensions - How to use AI-related Firebase extensions to create experiences for users. Interact with the Google PaLM API to answer queries, a Vision API to process videos, and more.
Web topics:
Baseline - The Web Platform Baseline consists of features that are natively supported in the core browser set for at least two major versions. That’s all current and previous major versions of Chrome, Edge, Firefox and Safari. Our goals for Interop are: 1) Build shared understanding around developer needs and interop issues, 2) Provide visibility into the status quo and progress on addressing it.
Authentication: Passkeys + FedCM - After years of work, we’re finally ready to retire passwords, creating simpler, smoother, and more secure experiences for your users that seamlessly across all the major platforms. This session will detail the benefits of passkeys, how to use them to deliver streamlined authentication flows, and how to evolve your identity stack to embrace this new technology.
Performance: Core Web Vitals top recommendations + INP - It seems there are about as many ways to improve web performance as there are websites themselves. Don't get overwhelmed! Learn about the 9 areas that the Chrome team has identified as the most effective opportunities to improve Core Web Vitals.
Advanced Apps: WASM & WebGPU - WebAssembly (Wasm) is a low level, high-performance binary format for the web, which can be compiled from languages such as C++, Swift, Dart, & Kotlin. In this talk we’ll showcase new developments in language support, usability, and increased performance. WebGPU is a new Javascript API bringing more featureful access to the GPU while being more idiomatic to JavaScript. WebGPU is now being released in Chrome so websites can start relying on it. This session will describe WebGPU's history, show demos covering various aspects of how WebGPU improves compared to WebGL, the current alternative, and give a sneak peek at what's next in the future for WebGPU.
What's New in Chrome Extensions - Learn from the Chrome Extensions team as they share some recent changes made to the extensions platform to improve security and privacy. Get the latest updates on Manifest V3 and the commitments Google is making to extension developers. Get a look at some exciting new features, including a new extension menu, a redesigned Chrome Web Store, and the upcoming Side Panel API.
How to optimize web responsiveness with Interaction to Next Paint - Dive into Interaction to Next Paint (INP), the newest performance metric in the Web Vitals program. Learn from the Chrome team how INP works and see how to use it to diagnose input responsiveness issues. One third of websites still struggle to meet the 200ms threshold for "good" INP.
AI on Cloud topics
Generative AI [Gen App Builder] - For Developers: how to deliver enterprise search and conversational experiences using generative ai technologies
Vertex Ai - for Developers: get started and to build, deploy, and manage foundation and custom models in the cloud.
Machine Learning Topics
Keras Core, KerasCV/KerasNLP - Keras is an open source high-level deep learning library running on top of TensorFlow, PyTorch and JAX. It provides a simple and modular interface for building deep learning models. With the release of Keras Core, KerasCV and KerasNLP, it will help building and deploying deep learning models even further.
MediaPipe - "MediaPipe Solutions provides a suite of low-code libraries and no-code tools to enable non-ML developers to train and deploy custom on-device ML solutions across platforms: web, Android, iOS and Python. In this workshop, we'll learn what MediaPipe Solutions offer, and how to get started using it. This workshop is for web, mobile and Python developers who want to integrate machine learning into their apps without having to spend months to learn machine learning. "
SimpleML - Learn how to use the Simple ML Addon for Google Sheets to predict missing data, identify anomalies in your data, and predict future data. You don't need to understand ML or even know how to program to use Simple ML.
PaLM & MakerSuite - An introduction to Large Language Models using the PaLM API and MakerSuite. This is the easiest way for developers to get started with Generative AI. Join us to learn more, and for resources you can use to teach developers about these tools in your community.
Android topics - see links in the slide
Firebase Topics
Firebase Authentication - How to implement a smooth onboarding flow with Firebase Anonymous Authentication, and how to securely authenticate users with Firebase's authentication providers, such as Email/Link, Google Sign-In, Sign in with Apple, and other federated identity providers, and how to integrate multi-factor authentication with time-based one-time passwords (TOTP)!
Firestore advanced queries - Simplify your data design and embrace complex queries! The Firestore SDK makes it easy and intuitive to retrieve only the data you need–when you need it.
Firebase in a Next.js web app - How to use a variety of Firebase services to build a restaurant review app in Next.js. Also, you'll explore how to use the web app through the Firebase Hosting emulator.
Firebase extensions - How to use AI-related Firebase extensions to create experiences for users. Interact with the Google PaLM API to answer queries, a Vision API to process videos, and more.
Web topics:
Baseline - The Web Platform Baseline consists of features that are natively supported in the core browser set for at least two major versions. That’s all current and previous major versions of Chrome, Edge, Firefox and Safari. Our goals for Interop are: 1) Build shared understanding around developer needs and interop issues, 2) Provide visibility into the status quo and progress on addressing it.
Authentication: Passkeys + FedCM - After years of work, we’re finally ready to retire passwords, creating simpler, smoother, and more secure experiences for your users that seamlessly across all the major platforms. This session will detail the benefits of passkeys, how to use them to deliver streamlined authentication flows, and how to evolve your identity stack to embrace this new technology.
Performance: Core Web Vitals top recommendations + INP - It seems there are about as many ways to improve web performance as there are websites themselves. Don't get overwhelmed! Learn about the 9 areas that the Chrome team has identified as the most effective opportunities to improve Core Web Vitals.
Advanced Apps: WASM & WebGPU - WebAssembly (Wasm) is a low level, high-performance binary format for the web, which can be compiled from languages such as C++, Swift, Dart, & Kotlin. In this talk we’ll showcase new developments in language support, usability, and increased performance. WebGPU is a new Javascript API bringing more featureful access to the GPU while being more idiomatic to JavaScript. WebGPU is now being released in Chrome so websites can start relying on it. This session will describe WebGPU's history, show demos covering various aspects of how WebGPU improves compared to WebGL, the current alternative, and give a sneak peek at what's next in the future for WebGPU.
What's New in Chrome Extensions - Learn from the Chrome Extensions team as they share some recent changes made to the extensions platform to improve security and privacy. Get the latest updates on Manifest V3 and the commitments Google is making to extension developers. Get a look at some exciting new features, including a new extension menu, a redesigned Chrome Web Store, and the upcoming Side Panel API.
How to optimize web responsiveness with Interaction to Next Paint - Dive into Interaction to Next Paint (INP), the newest performance metric in the Web Vitals program. Learn from the Chrome team how INP works and see how to use it to diagnose input responsiveness issues. One third of websites still struggle to meet the 200ms threshold for "good" INP.