EXPEDITION UNKNOWN
EXPEDITION UNKNOWN
Machine Learning
Expedition Unknown is a no-code machine learning event. Teams take on an expedition, where they come across a disastrous situation and it is necessary to build a working ML model, under various constraints. Decisions your team makes in each stage, shape what's possible later, so choose wisely.
Secure Your Spot
Limited seats available.
- 1st Prize
- ₹ 4500
- 2nd Prize
- ₹ 3000
- 3rd Prize
- ₹ 1500
Event Heads
/expedition-unknown.webp)
CSE (SSN)Event Round Details
Your team's expedition data has come back incomplete, messy, and mixed in with material that doesn't belong. Across three fast-paced stages, you'll dig through what's been recovered, figure out what's useful, sort and organize it, and get it ready so it can be used to build something later. You don't need any deep machine learning knowledge for this — just good observation and logical thinking.
- Stages run in order and cannot be skipped, repeated, or reset once closed.
- All software, code, and data needed will be provided on-site. No outside tools, code, datasets, or AI assistance are permitted
- Each stage has a fixed time limit. Work is auto-submitted when time runs out, whether complete or not.
It's time to put the prepared data to work. Across two final stages, your team will polish what you've prepared, then build a simple model using ready-made, easy-to-use tools. This is where preparation meets performance: the sharper your groundwork from Round 1, the more room you'll have to improve here. Expect this round to move fast and reward teams who iterate smart rather than iterate often.
- Decisions and outputs from earlier stages carry forward and directly affect later stages and rounds — there is no "starting over."
- Final standings are based on model performance, evaluated against data not shown to teams during the event.
- No collusion between teams, sharing of solutions, or interference with another team's work or submissions.
- All organizer decisions on scoring and disputes are final.
CSE (SSN)EXPEDITION UNKNOWN
EXPEDITION UNKNOWN
Machine Learning
Expedition Unknown is a no-code machine learning event. Teams take on an expedition, where they come across a disastrous situation and it is necessary to build a working ML model, under various constraints. Decisions your team makes in each stage, shape what's possible later, so choose wisely.
Secure Your Spot
Limited seats available.
- 1st Prize
- ₹ 4500
- 2nd Prize
- ₹ 3000
- 3rd Prize
- ₹ 1500
Event Round Details
Your team's expedition data has come back incomplete, messy, and mixed in with material that doesn't belong. Across three fast-paced stages, you'll dig through what's been recovered, figure out what's useful, sort and organize it, and get it ready so it can be used to build something later. You don't need any deep machine learning knowledge for this — just good observation and logical thinking.
- Stages run in order and cannot be skipped, repeated, or reset once closed.
- All software, code, and data needed will be provided on-site. No outside tools, code, datasets, or AI assistance are permitted
- Each stage has a fixed time limit. Work is auto-submitted when time runs out, whether complete or not.
It's time to put the prepared data to work. Across two final stages, your team will polish what you've prepared, then build a simple model using ready-made, easy-to-use tools. This is where preparation meets performance: the sharper your groundwork from Round 1, the more room you'll have to improve here. Expect this round to move fast and reward teams who iterate smart rather than iterate often.
- Decisions and outputs from earlier stages carry forward and directly affect later stages and rounds — there is no "starting over."
- Final standings are based on model performance, evaluated against data not shown to teams during the event.
- No collusion between teams, sharing of solutions, or interference with another team's work or submissions.
- All organizer decisions on scoring and disputes are final.
Event Heads
More Chaos
About the event
Code with Comali is an event inspired by Cooku with Comali, combining coding challenges with fun and unexpected hindrances. Teams compete across web development and DSA rounds while managing points that can be used to gain advantages or sabotage other teams. Participants will have to adapt to punishments and hindrances while completing their tasks. The winner is decided based on the total points accumulated throughout the event.
Go to eventCode with Comali
Web development and DSA
/code-with-comali.webp)
About the event
Codolympics is a two-round flagship competitive programming event of the CSE Department. In the first round, participants take on logical puzzles to solve and solution hacking, where the goal is to break a given solution by finding the input it fails on. The second round is an auction-driven problem-solving contest: contestants bid for the problems they want using a limited pool of coins, earn points by solving what they buy, and spend their remaining balance on hints, shields and sabotages against rivals. Participants will be tested on skills such as data structures and algorithms, problem-solving speed, edge-case analysis and strategic decision-making under limited resources.
Go to eventCodolympics
Competitive Programming
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About the event
MindMarket is a four-round interactive team-based event that combines real-world trading, luck-based challenges, networking, negotiation, clue exchange and investigation. Teams begin with a simple safety pin and attempt to trade it for increasingly valuable items. The points earned are then used in luck-based mini-games and challenges to obtain clues and advantages. Teams interact, negotiate and exchange information with one another before entering the final round, where they must use the clues they have gathered to complete a final challenge. The event focuses on communication, teamwork, observation, decision-making and adaptability in a fun and unconventional format.
Go to eventMindMarket
Entertainment
/mindmarket.webp)