Greetings from the Contingent! The journey to gold continues. As we move forward in our preparation for Inter IIT Tech Meet 14.0, it’s time to take on our next challenge — this time, from Observe.AI. The Mid-Prep Problem Statement by Observe.AI – “Causal Rationale Extraction and Synthesis from Conversational Data on Business Events” – has just been released. This challenge calls on you to uncover the why behind business-critical events by combining large-scale conversational analytics with the power of AI reasoning and data systems. Short Summary of the Problem Statement: Design and build a functional, end-to-end system capable of analyzing large volumes of conversational data to extract causal triggers, generate evidence-based explanations, and enable context-aware follow-up queries. Your platform should enable the following key functionalities: ● Causal Explanation: Generate structured, evidence-based insights explaining why specific business events (like escalations or refunds) occur. ● Conversational Follow-Up: Handle iterative analytical queries while maintaining contextual awareness of prior interactions. ● Insight Generation: Identify and synthesize recurring causal patterns from dialogues for actionable business intelligence. Skills Required: ● Large Language Models ● Data Engineering ● System Design & ML Ops Problem Statement: https://drive.google.com/file/d/1H7pwb21k7DCvO9JO4xjKwtHyZcx2qaXO/view?usp=sharing Form Link (fill with LDAP): https://forms.gle/SpvLcdCYSWYnAdaY9 Deadline: 11:59 PM, 11th November (strict, non-extendable) Join us as we blend AI reasoning, conversational intelligence, and system design to unlock the “why” behind every business conversation. Let’s lead IIT Bombay to gold with innovation that truly listens, learns, and explains. Anirudh Garg | Ayush Prasad Contingent Leaders – B76 Inter IIT Tech Meet 14.0 99151 59599 | 63535 03341 Regards, Shahu Patil, General Secretary Technical Affairs 25-26, IIT Bombay, contact- +91 91460 50850, https://tech-iitb.org https://insti.app/org/techiitb