Model Performance Monitoring System

[ramana2074]

Deep Learning Simplified Repository (Proposing new issue)

🔴 Project Title : Model Performance Monitoring System
🔴 Aim : The motivation behind this system is rooted in the need to maintain model integrity and effectiveness in production environments.
🔴 Dataset : iris dataset
🔴 Approach: Administrators are alerted via email when the performance of a deployed model falls below acceptable thresholds for any of the monitored metrics. This immediate notification enables administrators to take timely actions to address issues and maintain model quality.

---

📍 Follow the Guidelines to Contribute in the Project :

• You need to create a separate folder named as the Project Title.
• Inside that folder, there will be four main components.
  • Images - To store the required images.
  • Dataset - To store the dataset or, information/source about the dataset.
  • Model - To store the machine learning model you've created using the dataset.
  • requirements.txt - This file will contain the required packages/libraries to run the project in other machines.
• Inside the Model folder, the README.md file must be filled up properly, with proper visualizations and conclusions.

---

🔴🟡 Points to Note :

• The issues will be assigned on a first come first serve basis, 1 Issue == 1 PR.
• "Issue Title" and "PR Title should be the same. Include issue number along with it.
• Follow Contributing Guidelines & Code of Conduct before start Contributing.

---

✅ To be Mentioned while taking the issue :

• Full name : Venkata Ramana
• GitHub Profile Link : https://github.com/ramana2074
• Email ID : billanavenkataramana@gmail.com
• Participant ID (if applicable):
• Approach for this Project : Administrators are alerted via email when the performance of a deployed model falls below acceptable thresholds for any of the monitored metrics
• What is your participant role? (Gssoc Extended Contributor)

---

Happy Contributing 🚀

All the best. Enjoy your open source journey ahead. 😎

[github-actions]

Thank you for creating this issue! We'll look into it as soon as possible. Your contributions are highly appreciated! 😊