CAM-CPS
Visual Abstract Image
Objectives
- This project aims to design and develop an end-to-end real-time collaboration analytics system for student groups engaged in Collaborative Problem Solving (CPS) in real classroom settings.
- The primary objective is to capture multimodal interaction data (audio, video, and activity logs)
- To automatically analyze team processes over time using speech-to-text and LLM-assisted deductive coding of CPS indicators
- To provide actionable feedback to learners through a group mirroring dashboard.
Issues Involved
Smart city applications such as intelligent traffic management, urban surveillance, environmental monitoring, and public safety systems generate highly dynamic and location-dependent workloads that impose stringent latency and reliability requirements. Conventional cloud-centric processing models are often unable to meet these demands due to increased communication delays and fluctuating network congestion during peak urban activity.
Team Lead
Prof. Pratiksha Patil
pratiksha.patil@nmims.edu
Team Members
- Name: Madhura Vyawahare
Email ID:madhura.vyawahare@nmims.edu
- Name: Chhaya Dhavale
Email ID:chhaya.dhavale@nmims.edu
