Building the Future of AI-Assisted Research
Where every idea is challenged before it's published.
Team Name: MindMesh
| S.No | Team Member |
|---|---|
| 1 | Vignesh V S |
| 2 | Praneeth J |
| 3 | R Pranav Adhith |
| 4 | Ramshray R B |
ScholarPilot is an AI Research Operating System built on the Model Context Protocol (MCP) using NitroStack.
Developed by Team MindMesh for the NitroStack × Amrita University Coimbatore Hackathon, ScholarPilot transforms the traditional research workflow into an intelligent, collaborative process powered by specialized AI agents.
Unlike conventional research assistants that primarily search and summarize papers, ScholarPilot manages the complete research lifecycle—from prior work discovery and literature analysis to research gap identification, adversarial validation, citation management, verification, persistent research memory, and IEEE paper generation.
By combining retrieval, reasoning, verification, and academic writing into a unified workflow, ScholarPilot helps researchers move from an initial idea to a publication-ready manuscript with confidence.
flowchart TB
A["🎯 Research Topic"]
--> B["🔍 Prior Work"]
--> C["📚 Search & Score Papers"]
--> D["📄 Extract Claims"]
--> E["🧠 Synthesize Literature"]
--> F["💡 Discover Research Gap"]
F --> G["⚔️ Adversarial Review"]
G -->|PASS| H["📈 Resilience Score"]
G -->|Retry| F
H --> I["📖 Citations & Writing"]
I --> J["✅ Verification & Memory"]
J --> K["🌍 Cross-Domain & Tech Params"]
K --> L["📄 Overleaf Drafting"]
L --> M["🎉 Publication"]
This project is licensed under the MIT License.
See the LICENSE file for complete license details.
Copyright © 2026 MindMesh.