The gig leverages Python, ASP.NET and Azure Cloud for development of IoT apps, integrated with web RESTful APIs, to implement business applications or AI-based solutions. It also features Computer Vision (OpenCV) including image processing on data collected by a local IoT. In summary, it includes the following major stages:

1. Requirements Gathering and Clarification
2. Software Modelling and Development
3. Testing and Deployment

This gig provides the following services, based on the tiers (1, 2, 3):

1. Functional Web app deployed on Azure App Service
2. Integration to database deployed on Azure MySQL (1, 2, 3)
3. Integration to database deployed on Azure MS SQL Server (2, 3)
4. Functional Web App and Web API app (RESTful APIs) deployed on 2x Azure App Services (3)
5. Local IoT app to collect data locally (video feed) for local processing and push to the cloud via REST APIs (3)
6. Integration to Azure Blob Storage (2, 3)

The following steps are taken to implement the project. This should be expected to be higher for the higher tiers

1. User requirements and clarification/review of expected outcomes (7 days)
2. Feasibility study/discussion (3-4 days – concurrent with no 1.)
3. Concept diagrams, architecture designs (3-4 days)
4. Analysis and design (7-9 days – concurrent with no 3.)
5. Development (20-40 days based on complexity)
6. Testing (14 days – partially concurrent with 5.)
7. Delivery and validation against requirements
8. Support

These are approximate timelines and are defined by the project complexity.