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AlgoOlympia 1.0

unstopHosted on Unstop

Fetched about 3 hours ago

Sunday, July 19, 2026

to Sunday, August 2, 2026

•

2 weeks long

UndergraduatePostgraduateEngineering StudentsManagementArts, Commerce, Sciences & OthersLawMedical

Event Type

in person

23

Participants

2

Est. Projects

About the Opportunity Welcome to AlgOlympia 2026, a premier national ideation and algorithmic design hackathon hosted by the School of CSE,Nalanda Chandigarh University. This competition challenges the brightest minds to architect innovative, high-impact algorithmic solutions addressing critical global and societal issues. Instead of traditional competitive programming, this event focuses on System Architecture, Algorithmic Logic, and Feasibility across three core tracks: Algorithms in Healthcare (Resource optimization, predictive diagnostics, bio-informatics). Algorithms in Women's Safety (Anomaly detection, safe navigation, decentralized emergency mesh networks). Algorithms in Sustainable Development Goals (SDGs) (Clean energy allocation, smart waste management, carbon tracking). Competition Tracks & Problem Domains Track 1: Algorithms in Healthcare Dynamic Resource & Patient Scheduling: Architectural models for matching emergency patients to specialized medical staff using advanced graph theory or network flow frameworks. Genomic Sequence Mapping: Conceptualizing fast, low-overhead string alignment algorithms to identify pathogen mutations from massive bio-databases. Track 2: Algorithms in Women's Safety Multi-Criteria Safe Navigation: Designing routing algorithms that prioritize safety factors (lighting, crowds, police presence) over just the shortest physical distance. Decentralized SOS Mesh Networks: Formulating topological and graph-based routing protocols for peer-to-peer distress signaling when cellular infrastructure is down. Track 3: Algorithms in SDG Goals Smart Grid Renewable Allocation: Developing optimization models (e.g., dynamic knapsack variants) to fairly distribute volatile solar/wind energy to high-priority sectors. E-Waste Logistics Optimization: Architecting modified Traveling Salesperson (TSP) frameworks for autonomous recycling vehicles to minimize transit emissions. Structure & Rounds Round 1: Abstract & Algorithmic Architecture Submission (Online) Teams will select one of the tracks and submit a comprehensive proposal detailing their chosen problem, proposed algorithmic logic, data structures to be utilized, computational complexity (Time & Space complexity analysis), and system workflow. Round 2: The Marathon Presentation & Defense (Grand Finale) Shortlisted teams will present their structural models, workflow designs, and algorithmic frameworks before a panel of industry experts. Teams will be evaluated on the mathematical rigor, optimization capabilities, and real-world viability of their models. Eligibility & Team Format Team Size: 3 members per team. Open To: Undergraduate, postgraduate, and corporate tech enthusiasts who love solving structural problems with logical algorithms. Evaluation Criteria Submissions will be rigorously evaluated based on: Algorithmic Innovation: Novelty and depth of the logical approach. Technical Rigor: Proper selection of data structures, graph concepts, or optimization models. Efficiency: Theoretical Time and Space complexity considerations. Impact & Feasibility: How effectively the design solves the domain-specific challenge. Prize Pool & Rewards Compete for a total prize pool of ₹1,06,600: Winner: ₹50,000 First Runner-Up: ₹30,000 Second Runner-Up: ₹20,000 ️ Consolidation Awards: ₹6,600 pool

Judge Accessibility

Organizer email available25/25
Student-run event15/15
Actively looking for judges25/25
Small event (120 participants)10/10
No corporate sponsors10/10
New or emerging organizer10/10
Public registration available5/5
Online format (judge from anywhere)10/10

Top signals

Organizer email available
Student-run event
Actively looking for judges

Organizers

Alex Johnson

alex@example.org

Jamie Rivera

jamie@example.org

Sam Chen

sam@example.org

Estimated Audience

Mostly Students
ExperienceStudent
OccupationStudents
Beginner Friendly
Women in Tech

Technical Focus

AI95%
Web80%
Mobile25%

Industries

Healthcare
Education
Climate

Technologies

Python
React
OpenAI

Why this estimate

  • • Hosted by a university
  • • Open to students
  • • MLH member event

Estimate inferred from event metadata, not actual attendee data.

Quality Score

Quality Score

72/100
High confidence
Organiser16/20
Event Maturity14/20
Sponsors18/25
Participants12/20
Operations12/15

Why this score

Strong organiser track record
Returning event
Well-sponsored

Missing data

Prize details
Code of conduct