This hackathons is only open to students. Double check the event page for more information as this may mean only those from a particular university/country are eligible.
Event Type
online
3
Participants
₹24,000
Prize Pool
0
Est. Projects
Organizers
Alex Johnson
alex@example.org
Jamie Rivera
jamie@example.org
Sam Chen
sam@example.org
Quality Score
Quality Score
72/100
High confidence
Organiser16/20
Event Maturity14/20
Sponsors18/25
Participants12/20
Arithemania 5.0 – National Level Hackathon (Hybrid: Online + Offline)
Arithemania 5.0 is a national-level hackathon where teams move from idea to working product through a fast pitch round and an intensive build phase, ending with an on-campus finale.
Eligibility & Team Formation:
Open to undergraduate students across India
Teams of 2 to 4 members
Inter-college and inter-specialization teams allowed
Tracks:
Participants will choose from the following tracks, each centered on applied mathematics and computational thinking:
Geometry & Spatial Intelligence:
Focuses on how systems understand shapes, images, and space using mathematical reasoning. This includes areas like computer vision, graphics, robotics, and mapping.
Use of transformations, coordinate systems, and shape analysis
Systems that process or generate visual or spatial data
Clear impact of math on accuracy or efficiency
Practical builds like image tools, 3D reconstruction, or visualization systems
Example ideas: image alignment, 3D scene reconstruction, protein structure matching, fractal generators
Statistical Learning & Data Intelligence:
Centers on building data-driven systems using statistics and probability.
Use of models like regression, Bayesian methods, or time-series
Clear data pipeline from input to output
Justified model choices and performance evaluation
Outputs such as predictions, insights, or visualizations
Example ideas: stock prediction, weather forecasting, anomaly detection, data insight tools
Simulation, Modeling & Computational Systems:
Focuses on modeling real-world systems through mathematical abstractions.
Use of simulations, numerical methods, or iterative models
Ability to show system behavior over time
Clear assumptions and interpretable outputsExample ideas: Monte Carlo risk tools, neural network visualizers, synthetic data generators
Open Innovation:
No domain restrictions. Teams are free to build any impactful solution across technology, as long as there is clear problem solving and technical depth.
Format & Timeline:
01–07 Apr: Registrations + 2-minute pitch submission
07 Apr: Top 40 shortlisted
08–09 Apr: Development phase with GitHub tracking and nightly reviews, narrowed to Top 10
12 Apr: Final presentations, talks, and prize distribution (on campus)
Rules:
Original work only
Participation in reviews is mandatory
Progress tracked via GitHub
Plagiarism leads to disqualification
Judges’ decisions are final