Infineon

Infineon Campus Hackathon 2019

508 Registered Allowed team size: 2 - 3
508 Registered Allowed team size: 2 - 3

This campaign is over.

CHECK OUT OTHER HACKATHONS
idea phase
Online
starts on:
Sep 28, 2019, 09:30 AM UTC (UTC)
ends on:
Oct 28, 2019, 10:30 AM UTC (UTC)
hackathon
Bengaluru
starts on:
Nov 23, 2019, 02:30 AM UTC (UTC)
ends on:
Nov 23, 2019, 02:30 PM UTC (UTC)
About Teams Submissions FAQs About Infineon Discussion

Overview

Announcements: Dated - Nov 13th, 2019

Please find below the details of all the shortlisted teams per track. Offline Hackathon date is finalized for Dec 7th, 8 AM to 8 PM. Further details regarding the offline hackathon will be communicated to all the teams by the end of this week.

AI-ML Track -

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IoT -

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SWE-VLSI -

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SWE-OOPs -

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Hacking is building things that you always wanted to have but no one has built it yet. It's to come up with an amazing idea and work tirelessly on it. It is to fail, fail again and fail better. Try out new things and learn while doing that. It's to work together, collaborate and build things that are innovative. It is to be a better programmer.

With that spirit, Infineon is conducting a hackathon - Infineon Campus Hackathon 2019 and invites the student developers and hackathon enthusiasts to participate in an interesting and engaging hackathon.

Eligibility:

Pre-final and final year students pursuing Bachelors or Masters Degree from the graduation year 2020 and 2021 and from a selected list of colleges are allowed to participate.

Please note: Travel reimbursements to the students residing out of Bangalore will be provided.

So what are you waiting for? Hurry up! The registrations are already open and the entries will close on Oct 28th, 2019.

Extended Timelines:

  • Registrations closes on 28th Oct at 10 AM
  • First Round assessment - Nov 2nd & 3rd
  • First Round Result announcement - Nov 2nd week, 2019
  • Offline Hackathon at Bangalore - Nov 23rd, 2019

Themes

Artificial Intelligence / Machine Learning

1. Objective

  • To create a multi-label classifier – which can tag the documents into various categories

Skills required

  • Programming using Python / R
  • Natural Language Processing
  • Basic of Machine Learning
2. Output/Result
  • Participants have to generate a summission.csv file on test documents containing document ID with top-n predicted tags.
  • Accuracy of the results measured using the F1 score and approach taken by the participant
3. What Participants would learn
  • How to apply NLP Algorithms
  • Learn about different architecture of algorithms and their impact.

Software Programming / OOPs

1. Problem Statement

  • Given large datasets and Interface (API), identify time and space-efficient data format to store and query the datasets, conforming to the given Interface

2. Theme

  • Data Storage

3. Skills

  • Python, OOPS and Data Structures

4. Input

  • Large datasets and conforming Interface
5. Output
  • Hacker choice of scalable and high performant data format option
  • No loss and redundant data storage
  • Reliable and maintainable storage option
  • Optimization of Interface
6. Learning
  • Algorithm and Data structures
  • Data science and the Concept of data storing
  • Scalability and Performance analysis

Software Programming / VLSI

1. Problem Statement

  • The optimized placing of hierarchical shapes based on given constraints like spacing b/w blocks etc.

2. Theme

  • Algorithm

3. Skills

  • Python/Tcl, Placement algorithms, Plotting libraries
4. Input
  • ‘n’ shapes with varying size and constraints
5. Output
  • Optimized placement of shapes meeting all constraints
  • Graphical representation of optimized shapes
6. Learnings
  • Niche placement and routing algorithms

IoT/Embedded

1. Objective

  • To solve an Image puzzle

2. Skills required

  • Programming using C & C++,
  • Embedded Systems and microcontroller architectures
  • Basics of IoT

3. Output/Result

  • Correctness of the stitched image and the time taken by the code to complete activity based on which winners will be decided.
4. What Participants would learn
  • How to apply crypto algorithms?
  • How to secure data on a chip card?
  • How to optimize embedded code?

Prizes

Main Prizes
Winner
INR 400000

Cash Prize of 1 Lacs per team per track will be awarded.

Runner-up
INR 200000

Cash Prize of 50 Thousand per team per track will be awarded.

Spot Prizes

Spot prizes to be awarded to a few teams at the day of the offline hackathon.

Special Prizes
Internship offer

Internship offers will be rolled out to the selected participants of the hackathon.

Certificate of Participation

Certificate of Participation will be awarded to all the candidates attending the offline hackathon in Bengaluru.

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