A GDSC (Google Developer Student Clubs) info session is to introduce students to the opportunities and benefits of participating in a GDSC chapter. GDSCs are community groups that provide students with resources, mentorship, and a platform to learn about Google technologies, collaborate on projects, and enhance their technical skills. During the info session, students can expect to learn about the club's activities, workshops, hackathons, and networking opportunities. The event is to share insights into how GDSC can be a valuable part of a student's academic journey, fostering personal growth and professional development in the field of technology. These sessions often feature guest speakers, past project showcases, and details on how to join and get involved in the GDSC community. It's a great chance for students to explore how they can expand their knowledge, connect with like-minded peers, and engage in hands-on projects related to cutting-edge tech.

1. Have a look at this until
we start !

2. Before we start...We have something for you !
Social Media Contest
Post the best moment of yours from the ‘Info
Session’ on LinkedIn !
Make sure you tag ‘GDSC PEC’ & use the
following hashtags :
#TheJourneyStartsHere #gdspeck
#TechCommunity
Image Credits : Pinterest

3. GDSC Pragati
welcomes you to the
new year 2023-24 !

4. A glimpse into the GDSC Pragati 2022-23

5. GDSC Pragati VISION AND MISSION
VISION : To maintain the legacy of our former leads
and grow GDSC as a diverse student community.
MISSION : To create a technical student
community and help them learn what’s new in the
industry through interaction and collaboration.
#InTouchWithTomorrow

6. LEAD
V D PRADEEP

7. As a GDSC-Lead. What are the things I have to do!
 Instruct and guide and suggests the other team members
in learning various technologies.
 Have to develop peer to peer learning.
 Create awareness about Google technologies among the
students.

8. CH PRIYA
CO-LEAD

9. What does a Co-Lead do!
 Have to take Primary responsibility fo all the events.
 Have to guide the remaining leads.
 Have to take care of organising of events, hackathons,seminars, etc.
 Have to act as bridge between lead and team.
 Have to coordinate with remaining team members.

10. K D V CHAITANYA
CLOUD LEAD

11.  What are the learning objectives in Google Cloud:
1. Cloud Services Overview
2. Google Cloud Console
3. Virtual Machines (VMs)
4. Networking Basics
5. Identity and Access Management (IAM)
6. Getting Started with APIs
7. Hands-On Labs

12. Past Vs present senario

13. Google Cloud Study Jam program 2023

14. Various services offered by GCP

15. CH PRIYA
FLUTTER LEAD

16. FLUTTER
Cross platform Frame Work
Open source
Fast and simple development
Rich Set of Libraries
High Productivity
Dart

17. A NEHA
ANDROID DEVELOPMENT LEAD

18. • Android is the most popular mobile operating system in the world, powering
billions of devices.
• Programming languages used: Kotlin, Java, XML
Advantages of android:
• Open-Source
• Diverse Device Support
• Developer-Friendly
• Adaptability
• Cross-Platform Development

19. MD ASHIQ ILAHI
DATA SCI & AI-ML LEAD

20. Google AI, ML, and data science technologies like
TensorFlow and Keras:
1. Introduction to Google AI: - Brief overview of Google's
contributions to Artificial Intelligence and Machine Learning. -
Emphasis on Google's role in driving innovations in the field.
2. TensorFlow Framework: - Explanation of TensorFlow as an
open-source machine learning framework developed by Google.
- Highlight its popularity, versatility, and community support.
3. Keras Integration: - Discuss how Keras is a high-level neural
networks API that runs on top of TensorFlow. - Mention its user-
friendly interface and ease of building complex neural network
architectures.

21. 4. Applications of TensorFlow and Keras: - Showcase real-world applications across various
industries, such as image recognition, natural language processing, and recommendation systems.
5. TensorFlow Hub: - Introduction to TensorFlow Hub as a platform to share, discover, and reuse machine
learning modules.
6. Google Cloud AI Services: - Overview of Google Cloud's AI services like AI Platform, AutoML, and
BigQuery ML. - Emphasize their role in simplifying ML model development and deployment.
7. Data Science Tools: - Mention Google's tools for data analysis and visualization, like Google Colab and
Data Studio. - Highlight their collaborative and interactive features.
8. TensorFlow Extended (TFX): - Explain TFX as an end-to-end platform for deploying production ML
pipelines. - Discuss its role in managing and monitoring machine learning workflows.
9. Ethical AI: - Touch upon Google's efforts towards responsible AI, including fairness, transparency, and
interpretability. - Mention initiatives like the Google AI Principles.
10. Future of Google AI and ML: - Speculate on upcoming trends and advancements in Google's AI
and ML technologies. - Discuss the potential impact on industries and society.

22. K SAI KARTHIK
WEB DEVELOPMENT- LEAD

23. WEB DEVELOPMENT TEAM
K TANOOSH
K SAI KARTHIK

24. BACK-
END
DATABASE
FRONT-END
FRAME WORKS

26. DESIGN TEAM
SUDHA GAYATHRI
DESIGN LEAD
K TANOOSH

27. Rupa Kamalini Isukapalli
Student Community
Coordinator

28. Event Management Lead
P GOVARDHAN DATTA

29. Android Flutter Web Dev FlutterFlow
Google
Cloud
Blockchain
Here’s what GDSC PEC planning to conduct this year
Git & Github AI ML AR VR
AR
AR VR
Logo credits:www.flaticon.com,Google
…..and much more !

31. Apart from tech, GDSC PEC has
introduced 3 non-tech domains
too…Let’s have a look at those !

32. Thank You !
We would love to
have your feedback !