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InsightX: AI Data Challenge

unstopHosted on Unstop

Fetched 1 day ago

Monday, May 4, 2026

to Friday, May 15, 2026

•

2 weeks long

Artificial IntelligenceData ScienceEdtech
Student only
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

in person

Overview: InsightX: AI Data Challenge is a data-driven competition designed to evaluate participants’ ability to analyze real-world datasets and develop intelligent solutions using AI/ML techniques. Participants will work with structured or unstructured data to perform tasks such as prediction, classification, and insight generation, demonstrating both analytical and technical skills. Objectives: Apply AI/ML concepts to real-world datasets Develop analytical and problem-solving skills Extract meaningful and actionable insights Eligibility Criteria: Open to undergraduate students across all specializations Team participation only (2–4 members per team) Inter-college teams: Allowed Inter-specialization teams: Allowed Competition Format: Number of Rounds: 1 (Final Round) Problem Statements: 1 dataset-based problem will be provided during the event Duration: 3–4 hours for data analysis, model development, and solution building 5–10 minutes presentation per team Process: Participants will: Perform data preprocessing and exploratory data analysis Build predictive or analytical models Identify patterns, trends, and insights Present results through visualizations and explanation Tools Allowed: Python (Pandas, Scikit-learn, etc.) Excel / Google Sheets Approved ML tools and frameworks Judging Criteria: Accuracy / Logic – 40% Data Handling & Approach – 30% Insights & Visualization – 20% Presentation – 10% Rules & Guidelines: Teams must consist of 2–4 members; individual participation is not allowed Only the dataset provided during the competition may be used All work must be completed within the allotted time Pre-trained libraries are allowed, but complete pre-built solutions are prohibited Participants must perform preprocessing, EDA, feature engineering, and model evaluation Each team must present their solution within 5–10 minutes Submission must include code, outputs, and presentation files before the deadline Plagiarism or use of unfair means will lead to immediate disqualification Use of AI tools is permitted only as support; participants must fully understand their work Judges’ decision will be final and binding

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