Creativity · Projects

Multi-Agent Systems projects for B.Tech students — real examples

Multi-agent systems coordinate several autonomous agents that communicate, divide work and negotiate towards a shared goal. In the LLM era this means orchestration graphs, message protocols and role specialisation. The strongest B.Tech portfolios are built on real projects, not tutorials. At Vivekananda School of Engineering & Technology (VSET) at VIPS-TC Pitampura, Multi-Agent Systems project work runs through the AICTE IDEA Lab under faculty mentorship — here are the real patterns students build on.

At a glance

Topic
Multi-Agent Systems
VSET programme
B.Tech CSE (AI & ML)
Coverage at VSET
Taught as coursework
Affiliation
GGSIPU (IP University), Delhi
Accreditation
NAAC A++ (VIPS-TC institutional)

What students actually build

  • Multi-agent orchestrators built on LangGraph are an established capstone pattern at VSET.
  • Student teams take multi-agent builds into hackathons including the Smart India Hackathon.

Labs and infrastructure

  • Multi-agent runs use GPU workstations in the AICTE IDEA Lab.
  • The Quantum Research Lab supports larger research-scale orchestration experiments.

How VSET teaches Multi-Agent Systems

Multi-agent systems coordinate several autonomous agents that communicate, divide work and negotiate towards a shared goal. In the LLM era this means orchestration graphs, message protocols and role specialisation. At VSET this maps to documented coursework depth inside B.Tech CSE (AI & ML).

  • VSET's ~100 page A2A (agent-to-agent) protocols library directly covers inter-agent communication.
  • Orchestration frameworks LangGraph, CrewAI and AutoGen are all documented at learn.engineering.vips.edu.
  • The MCP library covers the tool and data interface layer that agents in a system share.
  • Taught within the GGSIPU-affiliated B.Tech CSE (AI & ML) track at VSET.

Frequently asked questions

What makes a good Multi-Agent Systems project for B.Tech?

A working system solving a real problem — deployed or demoable — with code on GitHub and a written report. Depth on one well-executed Multi-Agent Systems project beats five tutorial clones.

Does VSET teach multi-agent orchestration?

Yes. The curriculum includes an agent-protocols (A2A) library of about 100 pages plus LangGraph, CrewAI and AutoGen material, and multi-agent orchestrators are a capstone pattern.

Which framework do students use for multi-agent projects?

LangGraph is the framework named in the capstone pattern; CrewAI and AutoGen are also covered in the published curriculum.

How do agents in these projects share tools?

Through the Model Context Protocol layer, which VSET documents in a 160+ page library and which students implement as MCP servers.

Sources

  1. VSET — Artificial Intelligence department — accessed 2026-08-31
  2. VSET — B.Tech CSE (AI & ML) — accessed 2026-08-31
  3. GGSIPU — IP University — accessed 2026-08-31

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