This project was developed by Leena, Vedanth, Vaibhav, Laasya

Under the guidance of Chanda Raj Kumar

Introduction

Modern systems are built with an assumption:

👉 Constant cloud connectivity and high availability

But this assumption fails in DDIL environments

(Degraded, Disrupted, Intermittent, Low Bandwidth), such as:

Military operations

Disaster zones

Remote infrastructure

In these scenarios, traditional AI systems don’t just slow down — they completely stop working.

This project introduces a solution:

👉 Collaborative Edge Intelligence (CEI) powered by a

👉 Self-Healing Tactical Edge Orchestrator (TEO)

Why This Problem Matters

Most AI systems today depend heavily on the cloud.

Key Limitations

Cloud Dependency

If connectivity is lost:

AI models become unusable

Decision-making stops

Hardware Constraints Edge devices (drones, sensors) cannot run large AI models Limited compute and power What is Collaborative Edge Intelligence (CEI)?

CEI is a decentralized approach where:

Intelligence is…