AeroMedOpsAI is a cross-domain AI platform for intelligent operations in healthcare, pharmaceutical, and aviation environments. It combines predictive analytics, compliance automation, and real-time dashboards to optimize workflows and reduce operational risk.
This module analyzes flight delay data and generates root cause insights using LangChain and Streamlit.
- CSV upload and table display
- LangChain-powered root cause analysis
- Markdown summary with percent contribution
- Bar chart visualization of delay reasons
- Real-world alignment with aviation, hospital systems, and pharma logistics
- Cloud-ready deployment via Vertex AI and Databricks
- Professional-grade dashboards and optimization models
- Modular, scalable, and built for impact
- Designed for commercial partnerships, consulting, and product leadership roles
For collaboration, consulting, or portfolio review, please connect via:
- GitHub: syedamjad65
- LinkedIn: Syed Muhammad Amjad
- WhatsApp: +92 335 2177766
This project, AeroMedOpsAI, including all its modules and documentation, is the original work of Syed Muhammad Amjad and is protected under copyright.
- Author & Owner: Syed Muhammad Amjad
- License: © 2025 Syed Muhammad Amjad. All rights reserved.
- This repository is made public for educational, professional, and portfolio review purposes only.
- Commercial use, redistribution, or replication of any part of this project without explicit written permission from the author is strictly prohibited.
- If you wish to collaborate, reference, or build upon this work, please contact the author directly.
If you reference AeroMedOpsAI in your work, please cite:
Syed Muhammad Amjad. AeroMedOpsAI: Unified Intelligent Operations Platform for Aviation, Healthcare, and Pharma. GitHub, 2025.