📅 2024-04-23 — Session: Developed Docker setup for diamond price predictor
🕒 22:30–23:25
🏷️ Labels: Docker, Flask, Machine Learning, Git, Diamond Pricing
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to set up a Docker environment for a diamond price prediction application, leveraging machine learning models within a Flask web application.
Key Activities
- Reviewed Git push history to understand past changes and ensure the latest updates are used.
- Planned a sophisticated model for predicting diamond prices, which involves data analysis and predictive modeling.
- Conceptualized a web application using Flask for real-time diamond price prediction, emphasizing user interaction.
- Executed Docker setup instructions, including cloning the repository, building a Docker image, and running the application.
- Cloned the
localdev
branch from the GitHub repository to ensure the correct environment setup. - Organized project files and directories, providing detailed usage scenarios for effective application interaction.
Achievements
- Successfully set up the Docker environment and ensured the application is ready for further development and testing.
Pending Tasks
- Further refine the predictive model and integrate it into the Flask application.
- Conduct thorough testing of the application to ensure reliability and accuracy in predictions.