AI Assistant Chatbot - ML Engineer
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Skills
Project scope
- What is the main goal for this project?
-
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.
- What tasks will learners need to complete to achieve the project goal?
-
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.
- What is the main goal for this project?
-
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.
- What tasks will learners need to complete to achieve the project goal?
-
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.
Supported causes
About the company
Executive Summary of ImmiCan
Overview:
ImmiCan, under the leadership of Saad Khan, founder and CEO, is an innovative startup at the seed stage, focused on facilitating the economic integration of immigrants.
Mission:
ImmiCan is dedicated to accelerating the settlement process for immigrants, providing a streamlined platform where they can receive guidance and access essential services.
Product and Service:
Our product is a AI assistant designed for immigrants to overview a roadmap and connect with businesses. This assistant guides them through the process of settling in a new environment, connecting them with various services offered by businesses on our platform.
Target Market:
ImmiCan targets global immigrants seeking assistance with economic integration and business owners looking to offer their services to this demographic.
Unique Value Proposition:
ImmiCan stands out with its dual-component platform: an AI assistant tailored for immigrants and a comprehensive front-end suite for business owners. This combination addresses the needs of both immigrants and service providers in a single, integrated ecosystem.
Technology:
The technological backbone of ImmiCan includes Front End development in Reach, Back End in Flask, a Postgresql database, and servers currently hosted on AWS/Azure. We are considering a shift to dedicated servers for enhanced performance.
Team:
The core team comprises CEO Saad Khan, Head of IT Yasir Mohammed with over 20 years of IT business experience in Italy,