Welcome to
Hack the Future 2025
Gear Up
Innovating Intelligent Data Insights aims to leverage cutting-edge AI and data science techniques to address key challenges in socio-economic and development domains using public data. Organized by the IIEC, IIT Gandhinagar, in collaboration with the Computer Center- Ministry of Statistics and Programme Implementation (MoSPI), The focus of hackathon will be on creating innovative and implementable solutions to real-world problems empowering participants to contribute to research, policy-making, and entrepreneurship by unlocking the potential of government data.

Important Dates
February 7 - 28, 2025
Application Period
March 5, 2025
Notification of Shortlisted
March 10, 2025
Orientation Session
March 14, 2025
Concept Note Submission by Teams
March 21-23, 2025
Hackathon and Pitching at IIT Gandhinagar

Problem Statements
1). Development of an AI/Ml-based predictive model for estimation of Monthly Per Capita Expenditure (MPCE)
2). Development of Semantic Search from text to National Industrial Classification Code
3). AI-based Legacy Data Extraction and Processing Tool
Who Can Participate?
+ Students, developers, and researchers enrolled with any academic program from across India.
World needs you
Developing a Predictive Model for Estimation of MPCE (Monthly Per Capita Consumption Expenditure) Using HCES Survey Data - Build a model to estimate household consumption expenditure based on survey data and to Enable faster and more frequent insights into consumption patterns. AI-Enabled Intelligent Search Solution for Documents to Develop an AI-powered system to efficiently search and retrieve relevant information from MoSPI’s extensive database and other government documents.

WIN upto ₹5,70,000
The prizes to Winning teams will be given on Statistics Day on June 29, 2025.
More Info & FAQ
1) Development of an AI/Ml based predictive model for estimation of Monthly Per Capita Expenditure (MPCE).
2) Improving Field Survey Accuracy and Efficiency with an AI-Based Classification Tool
3) Manual Search within the Document impacts overall efficiency of operations of MoSPI