Include how to join the club, open postions and magic trics of NLP and CV

1. Welcome to
Launch Event
So good to have you here!
Learn with Fun

2. #gdscUniDue

3. Google Developer Student Clubs
(you!) help thousands of student
developers learn globally and work
with their communities to solve
real-life problems.

4. GDSC bridges the gap
between theory and
practice.

5. Social Exposure
Improve Leadership Skills
Much
more..
Certificate of Participation, t-
Shirts, etc.
Learn State of the Art
Technologies

6. Join the chapter
https://gdsc.community.dev/universitat-duisburg-
essen/
Be part of us….

7. Be present
Stay present and engaged throughout this session -
close email, chat, and other distracting windows.
Turn on your camera if you are comfortable.
Be curious
Adopt a growth mindset to expand your perspective
and keep an open mind. If you want ask question to
a specific Speaker please write his/her name in
[brackets]
Share aloud
Use the chat window or unmute and share
your thoughts and ask questions.
Our Wishes
Engagement
Be mindful of your surroundings, actively listen
and apply what you learn in the interactive
activities and discussions.
Respect each other
With diverse opinions coming in, respect each
others thoughts. We have a zero tolerance policy
for harassment.
Keep it in the room
Let’s create a safe space - please respect
confidentiality.

8. Solution Challenge
● Annual contest for Google Developer Student Club communities
to develop solutions that solve real world problems using
one or more Google products or platforms.
● Students form a group and build a solution together. They
learn by building real solutions.
● Last Solution Challenge: 820 submissions with 11.5k+
registrants

9. Importance of Solution Challenge
● Become more industry ready by applying and practicing your
coding skills on a real-world project
● Opportunity to showcase technical skills
● Stand out to job recruiters by being able to showcase your
project on your resume
○ Recruiters always like to see students making the
effort to create a project that they are passionate
about
● Receive Google Developer badges and certificates

10. Prizes for 2021 Solution Challenge
● Top 10 Finalists
○ 2021 Solution Challenge Demo Day Invitation
○ Pluralsight - Free 1 year subscription
○ Customized swag kit
○ Customized mentoring
○ Featured on a Google Developers blog
● Top 3 Winners:
○ Chromebook
○ Coffee chat with a Google executive

11. Rough Timeline
● January: Solution Challenge Announcement
● January - March: Learn &Build phase - find team members,
brainstorm ideas, and start developing your solution
● April: Submit your solution

12. Meet our GDSC Core Team

13. Getting monetry funds always good so why not
take it.
Student Organization such ASTA always help
us but why can‘t we go beyond.
Role: Outreach and Sponsorship Lead

14. Responsibilities
○ Spread out words.
○ Create pitch book.
○ Bring sponsors.
○ Make your own team and manage it.

15. How to apply?
Email to piush.aggarwal@uni-due.de

16. To work with our core-team
members please directly contact
them
https://gdsc.community.dev/universitat-duisburg-
essen/

17. Today‘s Program
○ Prof. Torsten Zesch thoughts on AI (45 min)
○ AI for NLP (20 min)
○ AI for CV (20 min)
○ Connect each other (15 min)

18. Piush Aggarwal
https://gdsc.community.dev/u/mz698p/#/about
Contact for Queries
piush.aggarwal@uni-due.de
GDSC Lead

19. How can the Computer
understand what I want?
Chatbots
by Sascha Meyer

20. Chatbots
• There are many types of chatbots with different purposes
Two classes of catbots
1. Chatbot
2. (Goal-based) Dialog
agents

21. Chatbot Rasa
• Socialbot
• Frame-based dialog agents
• Visualize your dialoge structure
• uses natural language understanding (NLU)
• Used by FB messenger, Microsoft bot and slack etc.
Visualized dialoge flow

22. Intents
• In Intents you can define intents
and provide example phrases that
should map to this intent
• User write ‘hello’ à intent: greet

23. Rules
• Rules are fixed patterns of actions to be taken
whenever a certain intent is matched,
independent of the conversational
context
• User write ‘bye’ à action: utter_goodbye

24. Actions
• Actions are simply python classes
And can do all sort of things
• Default action can be replaced/
expanded with custom action

25. Stories
• Stories are more complex
interaction patterns that can be
learned from example stories

26. Chatbots Rasa
Interested in Chatbots and NLP? Then check out or small Rasa Chatbot
and ask it about us and our Team members
Or
Join our Team GDSC Duisburg-Essen!
Link or website: https://gdsc.community.dev/universitat-duisburg-essen/
Link to our discord: https://discord.gg/mf9ydUNM
Link to our chatbot: TBA

27. Computer Vision
By Stephen Adhisaputra
Application and Use Cases

28. Computer Vision: Development in Recent Years
2012 2014 2016 2018 2020
Google Brain’s neural
network can recognize
cats in Youtube videos
Deep residual learning
for image recognition
”ResNet” was born
Deep learning era:
release of COCO
large-scale dataset
Exponential industry
deployment and
growth of Edge AI
Waymo tests “level 4”
autonomous vehicles
ImageNet 2012:
Training nets using GPU
become popular
Initial release of
TensorFlow API for
machine learning
Facial surveillance tech
become controversially
abundance
AI can recognize more than
5000 species of plants and
animals
1960 ...

29. Computer Vision: Popular Use Cases
• Farming drones
• Document reader
• Facial recognition
• Augmented reality
• Driver assistance
• Traffic sign detection
• Disease recognition
• X-rays Analysis
• Garbage cleanup
• Satellite imagery
• Traffic counter
• Pest identification
• Math equation reader
• Tumor detection
• Solar panel inspection
• Smoke alarm
• Product quality control
• Smart maintenance
• Anomaly detection
• Hand Gesture Reader
• License plate reader
• Home security
• Fungus classifier
• Edible Plant Detector
• Self-driving cars
• Microscopy analysis
• Logo identification
• Virtual cane
• Factory automation
• Inventory management
• Species tracking
• Image captioning
• Disaster prevention
• Drone video analysis
• Criminal recognition
• Blood cell detection
• Pose identification
• Eye tracking
• Wildlife monitoring

30. Computer Vision: Machine Learning Pipeline
Collect
data
Image pre-
processing
Image
augmentation
Annotate
data
Train and
validate
Model
selection
Visualize
Deploy

31. Vision Team GDSC-UDE
Curious about computer vision? Want to create interesting projects?
Or just want to get to know new people?
Feel free to ask questions and get in touch with us!
Presenter E-mail: stephen.adhi@gmail.com
Link to website: https://gdsc.community.dev/universitat-duisburg-essen/
Link to our discord: https://discord.gg/mf9ydUNM