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
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
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