GDG On Campus KIIT
GDG On Campus KIIT is a student developers club powered by Google Developers to enhance technical and problem-solving mindsets of University students.

Debunking myths of undergraduate AI research

Hacktoberfest at GDG On Campus KIIT: A Complete Guide to Open Source Contributions

How to register for DevSprint '22 | @gdgkiit

DevSprint '22 Teaser Video | @gdgkiit

#8 - Darshil Agrawal : iOS Dev & SDE @SwiggyIndia | WWDC'21 Scholar

ASJ 2021 | Session 7 - GDSC KIIT x KIIT Hack Club || ft. Aditya Singh & Satyajit Mishra

ASJ 2021 | Session 6 - GDSC KIIT x KIIT Hack Club | Coroutines and Internet(HTTP) | ft. Tanmoy Dey

ASJ 2021 | Session 5 - GDSC KIIT x KIIT Hack Club | ft. Rishav Chanda and Satyajit Mishra

ASJ 2021 | Session 4 - Creating Dynamic Lists | ft. Satyajit Mishra

ASJ 2021 | Session 3 - Learning about Activity Lifecycle | ft. Satyajit Mishra

Android Study Jam 2021 | Session 2 - Introduction to Kotlin and Android Studio | ft. Sarvansh Jain

Android Study Jam 2021 | Session 1 - Introduction to ASJ and Kotlin | ft. Satyajit Mishra

Intro Session to Google Cloud Program | 30 Days of GCP | 2021

How to Crack Paid ML Internships | ML Team | GDSC KIIT

#7 - Shashwat and Sfurti: SDET Intern @YugaByteDB

#6 - Arpit and Divyansh: Frontend & Backend Intern @Razorpay

#5 - Trilok Bhattacharya : What it takes to be an SDET @Commvault

#4 - Sayan Nath GSoC 2021 @TensorFlow and Priyansi GSoD 2021@PyTorch Ignite

#3 - GSoC 2021: Saswata @ThanosMetrics, Akash @MetaBrainz, Aditya @RocketChat

#2 - Harshit Dang: Amazon, Highest Package in KIIT University ⚡

#1 - Nidhi Kumar: Texas Instruments, "DSA didn't help me get the job 🤯"

AMA Session & Roadmap for GSOC 2021

Session 1 : Intro To TFLite | Tensorflow 2.0 | Deep Learning | DSC KIIT

Solution Challenge 2021 | Design Day | Part-3

Solution Challenge 2021 | Design Day | Part-2

Solution Challenge 2021 | Design Day | Part 1

Session 7 : Authentication Using REST API, Hive - Flutter

Session 5 : Unity with ARCore

Session 4: Firebase for Beginners

Session 3: Ways to deploy your ML model