Chatbot MVP:

• Source code for the chatbot application.
• Documentation detailing the architecture, design decisions, and usage instructions for the chatbot.
• The chatbot should have the ability to engage in natural language conversations with users.
• It should be capable of recording the number of conversations and the number of users.

User Interface (UI/UX) Design:

• UI/UX design mockups or prototypes for the chatbot interface.
• Design assets, including graphics, icons, and layout designs.
• User-friendly mobile app design (if applicable) or web app design.

Functionality:

• The chatbot should be able to provide information about ImmiCan's services and mission.
• It should record and store data on the number of conversations and users for analytics purposes.

Integration:

• Integration of the chatbot with ImmiCan's existing technology stack, including databases and servers.
• Ensure seamless data flow and communication between the chatbot and other ImmiCan systems.

Testing and Quality Assurance:

• Testing plan and test cases to verify the functionality and performance of the chatbot.
• Report on testing results and any issues found during testing.
• Bug fixes and optimizations based on testing feedback.

Documentation:

• Comprehensive documentation of the chatbot's functionality, APIs used, and any third-party libraries or tools.
• User documentation explaining how to interact with the chatbot.
• Documentation on how to deploy and maintain the chatbot.

Mobile App (Optional):

• If the chatbot is designed as a mobile app, deliver the mobile app source code and build files for Android and iOS (if applicable).
• Ensure the app is responsive and compatible with various mobile devices.

Final Presentation:

• A presentation summarizing the project, including its goals, implementation, challenges faced, and key takeaways.
• Visual aids, such as slides or a demo of the chatbot, to showcase its functionality.

Project Report:

• A written report detailing the project's objectives, methodology, results, and recommendations for future development.
• Include insights on how the chatbot can contribute to ImmiCan's mission of accelerating economic integration for immigrants.

User Feedback:

• Gather feedback from potential users or stakeholders regarding their experience with the chatbot.
• Summarize user feedback and any suggested improvements.

Chatbot MVP:

• Source code for the chatbot application.
• Documentation detailing the architecture, design decisions, and usage instructions for the chatbot.
• The chatbot should have the ability to engage in natural language conversations with users.
• It should be capable of recording the number of conversations and the number of users.

User Interface (UI/UX) Design:

• UI/UX design mockups or prototypes for the chatbot interface.
• Design assets, including graphics, icons, and layout designs.
• User-friendly mobile app design (if applicable) or web app design.

Functionality:

• The chatbot should be able to provide information about ImmiCan's services and mission.
• It should record and store data on the number of conversations and users for analytics purposes.

Integration:

• Integration of the chatbot with ImmiCan's existing technology stack, including databases and servers.
• Ensure seamless data flow and communication between the chatbot and other ImmiCan systems.

Testing and Quality Assurance:

• Testing plan and test cases to verify the functionality and performance of the chatbot.
• Report on testing results and any issues found during testing.
• Bug fixes and optimizations based on testing feedback.

Documentation:

• Comprehensive documentation of the chatbot's functionality, APIs used, and any third-party libraries or tools.
• User documentation explaining how to interact with the chatbot.
• Documentation on how to deploy and maintain the chatbot.

Mobile App (Optional):

• If the chatbot is designed as a mobile app, deliver the mobile app source code and build files for Android and iOS (if applicable).
• Ensure the app is responsive and compatible with various mobile devices.

Final Presentation:

• A presentation summarizing the project, including its goals, implementation, challenges faced, and key takeaways.
• Visual aids, such as slides or a demo of the chatbot, to showcase its functionality.

Project Report:

• A written report detailing the project's objectives, methodology, results, and recommendations for future development.
• Include insights on how the chatbot can contribute to ImmiCan's mission of accelerating economic integration for immigrants.

User Feedback:

• Gather feedback from potential users or stakeholders regarding their experience with the chatbot.
• Summarize user feedback and any suggested improvements.

1. Mentorship and Guidance: Provide dedicated mentorship from experienced professionals in AI and machine learning, offering regular guidance and expert insights.
2. Access to Resources: Ensure students have access to necessary software, tools, and platforms, as well as relevant learning materials and documentation.
3. Regular Feedback Sessions: Conduct frequent feedback sessions to review progress, address challenges, and provide constructive criticism to guide development.
4. Collaboration Tools: Facilitate the use of collaboration tools and platforms to enhance teamwork, communication, and project management.
5. Technical Support: Offer technical support for specific challenges related to programming, machine learning, and chatbot development.