InsightX: Leadership Analytics Challenge | Techfest 2025-26
Hosted on UnstopFetched 17 days ago
Wednesday, January 28, 2026
to Saturday, February 28, 2026
•
1 month long
Data ScienceArtificial IntelligenceNatural Language ProcessingMachine LearningSocial Impact
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
online
1,625
Participants
₹100,000
Prize Pool
146
Est. Projects
Organizers
In the rapidly evolving digital payments ecosystem, organizations generate millions of transactions daily. While this data holds immense strategic value, extracting meaningful insights remains a significant hurdle for non-technical stakeholders. InsightX is a premier hackathon organized by Techfest, IIT Bombay, designed to bridge this gap. The challenge invites participants to develop a Conversational AI system that democratizes data access. You will build a tool that allows business leaders to query complex digital payment datasets using natural language; receiving accurate, explainable, and context-aware responses without ever writing a line of SQL. Objectives & Scope: Participants must design an end-to-end intelligence layer capable of handling a synthetic dataset of 250,000 transactions. Your system should: Interpret Intent: Understand diverse business questions related to transaction patterns, user behavior, and operational metrics. Generate Data-Backed Insights: Perform real-time statistical analysis, aggregations, and pattern recognition. Ensure Explainability: Provide clear reasoning behind every conclusion, supported by relevant statistics and trends. Maintain Context: Support follow-up questions and handle ambiguous queries gracefully. Technical Focus Areas: Your solution will be evaluated based on its ability to navigate the following key data dimensions: Descriptive & Temporal: Analyzing average transaction amounts and peak hours for specific categories like Food or Entertainment. Comparative Analysis: Contrasting performance across different device types (iOS vs. Android) or network conditions (5G vs. WiFi). User Segmentation: Identifying trends across specific age groups and Indian states. Risk & Operational Metrics: Calculating failure rates and analyzing transactions flagged for review (fraud_flag). Structure and Timeline: Round 1: Concept & Approach Submission Deadline: 10th February 2026 Teams must submit a structured response outlining their analytical approach, NLP strategy, and explainability framework. Round 2: Final Demo & Presentation Submission Deadline: 28th February 2026 Final Presentation: 8th March 2026 Shortlisted teams will receive the dataset to build a functional prototype and present it to a panel of experts at Techfest, IIT Bombay. Guidelines & Eligibility: Team Composition: Teams must consist of 2 to 4 members. Originality: All code and logic must be original work developed during the competition period. Dataset Integrity: Teams must use the provided synthetic dataset. While derived features are encouraged, the base structure must remain intact. Technology Stack: Participants are free to use any programming languages, frameworks (LLMs, traditional ML, or rule-based systems), or libraries. Submission Requirements (Shortlisted Teams): Source Code: A fully documented codebase with execution instructions. Working Prototype: A functional web app, CLI, or notebook-based system. Technical Documentation: Overview of system architecture and data analysis methodology. Demonstration Video: A 3-5 minute walkthrough showing the system handling complex queries. Sample Query Set: A collection of at least 15 diverse queries and their corresponding system responses.