Business Requirements Analysis and Feasibility Study
A business requirements analysis was conducted, defining objectives and priorities with stakeholders. Subsequently, a feasibility study evaluated the technical and economic viability of the project, ensuring it was sustainable and aligned with business goals.
State-of-the-Art Review and UI/UX Design
Existing market solutions were examined to identify best practices and innovations. Concurrently, the quality of available data was assessed to identify improvement opportunities.
Besides, In the UI/UX design phase, user interface prototypes were created using Figma, ensuring an optimal experience. Usability tests were conducted, gathering feedback from real users and iteratively improving the design.
Data Management Infrastructure Design
A secure and scalable data infrastructure was designed, using MySQL for data management and AWS for scalability and security. Backup strategies were planned to ensure continuity.
Solution Implementation, Google API Utilization Requests Creation and production deployment
During the development phase, functionalities were built using Python and Angular. Deployment was managed with Jenkins and Docker, and project documentation was created to facilitate adoption and knowledge sharing.
OAuth 2.0 protocol was implemented for secure authentication, and requests to Google FIT APIs were developed, with specific tests to ensure smooth integration.
For production deployment, Jenkins and Docker were used for continuous deployment, performance monitoring was conducted, and training was provided to users and support staff.