Faculty Team 9
Software Engineering
Prerana Sathyabodha Kumsi, Aniket Anil Patil, Satyam Shekhar, Uma Maheswar Reddy Nallamilli, Shreya Prakash, Piyush Moolshanker Sharma
Summary
Professionals often miss or delay responses to messages while in meetings or focused work, limiting timely communication. This project addresses that challenge by developing an LLM-powered system that generates context-aware auto-replies. The model uses inputs such as activity type, time, sender role, urgency and expected response time to produce appropriate responses. Delivered through an Android application, the system replaces rule-based automation with more adaptive messaging. The goal is to support timely communication while reducing interruptions and maintaining message quality.