The main goal for the project is to enhance the capabilities of the PathoBox machine by adding the ability to detect SYBR Dye. This will enable the machine to identify specific crop diseases with higher accuracy and efficiency, aligning with PathoScan Technologies Inc.'s mission to revolutionize agricultural practices.

This will involve several different steps for the learners, including:

- Researching the properties and behavior of SYBR Dye in detecting crop diseases.

- Developing and integrating the necessary hardware and software components for SYBR Dye detection into the PathoBox machine.

- Testing the integrated system to ensure accurate and reliable detection of crop diseases using SYBR Dye.

- Documenting the integration process and providing guidelines for future maintenance and upgrades.

By the end of the project, learners should complete the following tasks:

- Research report on the properties and behavior of SYBR Dye in crop disease detection.

- Integrated hardware and software components for SYBR Dye detection in the PathoBox machine.

- Test results demonstrating the accurate and reliable detection of crop diseases using SYBR Dye.

- Comprehensive documentation of the integration process and maintenance guidelines.

Final deliverables should include:

- Integrated system source code and hardware schematics.

- Testing data and results analysis report.

- Detailed documentation for future reference and maintenance.

The Pathoscan team will provide the knowledge and expertise to help the learners complete the project. This includes being available for zoom meetings to answer the learner's questions.