Technologies Involved:
MACHINE LEARNING
PYTHON
Area Of Work: Machine Learning
Project Description

Trip Salam, a growing travel-tech venture, empowers users with curated travel experiences through efficient backend operations. When they approached Oodles, they needed a fast, flexible setup for local development using Python. The goal was to streamline build pipelines and enable teams to deploy and scale seamlessly, without being held back by complex configurations.

Scope Of Work

The client required a developer-centric backend setup that included virtual environments, dependency handling, PostgreSQL integration, and database migrations. The goal was to simplify local development and build a foundation for rapid iteration. Areas of work included environment setup, Python runtime integration, database configuration, and server orchestration.

Our Solution

To meet Trip Salam’s needs, a robust backend deployment guide was created using Python 3.7 and Flask. The setup focused on developer ease, speed, and scalability.

Key implementation steps included:

  • Environment Setup: Python 3.7 installed with virtualenv for isolated builds.
  • Dependency Management: Pip and requirements.txt used for package handling.
  • PostgreSQL Integration: Database user and instance created, mapped via configuration files.
  • Database Migrations: Flask-Migrate enabled structured schema updates.
  • Server Deployment: flask run command configured for local testing and scaling.

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