The main goal for the project is to develop a fully homomorphic encryption technique that can perform simple data analytics over encrypted data, ensuring privacy-preserving data science. This will involve several different steps for the students, including:

- Researching and understanding fully homomorphic encryption techniques.

- Developing a method to perform data analytics over encrypted data.

- Testing the developed technique to ensure its effectiveness in preserving privacy.

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

- A fully homomorphic encryption technique for performing data analytics over encrypted data.

- Testing and validation of the technique to ensure privacy preservation.

Final deliverables should include:

- All source code and documentation related to the developed technique.

- A detailed report explaining the technique and its effectiveness in preserving privacy.

1. Guidance and Mentorship: Offer guidance and mentorship throughout the project, providing clarification on project requirements, technical concepts, and methodologies.
2. Resource Provision: Ensure access to necessary resources such as hardware components, software tools, datasets, and relevant literature to facilitate project implementation.
3. Regular Check-Ins: Schedule regular check-ins to monitor progress, address any challenges or concerns, and provide feedback to help students stay on track.