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REWIRED: Rethink What You Know

competitionChennai, Tamil Nadu, India
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Deadline: 26/09/2026

Skills for this role

Skills we detected for this role.

  • IoT

Opportunity brief

REWIRED – Rethink What You Know

REWIRED is a three-round technical competition that combines hardware problem-solving, strategic decision-making, and Industrial IoT innovation. Teams progress through two preliminary rounds before competing in the final round.

Round 1 – Prelims 1 | Hardware Ctf

Time: 30–40 Minutes

  • Teams Solve a Series of Hardware-Based Ctf Challenges.
  • Ai Tools Are Allowed Throughout the Competition.
  • Valid Flags Earn Coins Based on Difficulty, and Submitted Flags Are Tracked.
  • Sharing Answers or Solutions Between Teams Is Prohibited.
  • The Organizer's Decision Is Final Regarding Challenge Completion and Scoring.

Round 2 – Prelims 2 | Auction

Time: 15–20 Minutes

  • Teams Can Bid only Using the Coins Earned in Round 1.
  • All Auction Items Are Revealed Upfront.
  • Teams Bid on Their Preferred Items Within the Allotted Time.
  • Each Team Can Win only One Item.
  • After Winning an Item, the Team Sits out Of the Remaining Auction.
  • No Trade-Backs or Bid Modifications Are Permitted.
  • The Auctioneer's Decision Is Final Regarding Bids, Timings, and Sales.

Round 3 – Final | Industrial Io T

Time: 1.5 Hours, Including Auction Interruptions

  • Industrial Io T Problem Statements Will Be Provided Before the Auction.
  • Teams Use the Allotted Time to Ideate, Architect, Build, and Prepare a Ppt.
  • Surprise Scenarios May Be Introduced During the Final Round.
  • Presentation: maximum 4 Minutes + Q&a.

Ai Policy

  • Ai Tools Are Allowed for Technical Research, Architecture Design, and Code Ideation.
  • Ai Tools Are Not Permitted for Ppt Generation.

Evaluation

Teams Will Be Evaluated On:

  • Ideation
  • Workflow / System Architecture
  • Ppt & Presentation
  • Prototype Bonus

Rewired Challenges Participants to Combine Technical Knowledge, Creative Problem-Solving, Strategic Decision-Making, and Adaptability Under Time Constraints.

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