EAI 6010 Grp Project

.docx

School

Northeastern University *

*We aren’t endorsed by this school

Course

6010

Subject

Information Systems

Date

Dec 6, 2023

Type

docx

Pages

Uploaded by UltraGullPerson674

Introduction 1. Primary Goal: - Alleviating challenges for international students studying abroad. - Enhancing the overall student experience in a foreign academic environment. 2. Nature of the Project: - Development of an AI-powered chatbot to serve as a comprehensive support system for international students. - Providing crucial information and guidance on various aspects of life in a foreign land, including accommodation, transportation, academic requirements, and cultural adaptation. 3. Specific Focus: - Addressing the growing need for personalized and easily accessible support services for international students. - Fostering a more inclusive and supportive environment within educational institutions. 4. Use of AI Technologies: - Leveraging advanced Natural Language Processing (NLP) algorithms for understanding and responding to student queries. - Integration of Machine Learning (ML) models to provide tailored recommendations and assistance. 5. Objective of the Project: - Empowering students with necessary tools to navigate and thrive in their new academic and cultural environment. - Bridging the gap between students and essential resources, ensuring a smoother transition and enriching academic experience abroad. 6. Anticipated Impact:

- Revolutionizing the accessibility of information and support services for international students. - Enhancing the academic journey and overall well-being of students studying in foreign lands. By focusing on these points, the introduction clearly outlines the key objectives, the innovative nature of the project, and the intended impact on the experience of international students. Introduction The goal of this project is to develop an AI-powered chatbot that can help international students survive in a foreign land. The chatbot will provide students with information on a variety of topics, including:  How to find accommodation, transportation, and food  What to consider in the upcoming days or months, such as registering for classes, opening a bank account, and getting a student visa  Necessary documentation to be taken care of, such as a state ID and driver's license. Where and why The chatbot will be used by international students at universities around the world. It is designed to help students who are new to a foreign land and who may need assistance with a variety of tasks, such as finding housing, opening a bank account, and getting a student visa. Breakthrough The chatbot will be a breakthrough in the field of AI-powered education. It will be the first chatbot to be specifically designed for international students. It will also be the first chatbot to be integrated with a variety of resources, such as university websites, government websites, and student forums. This will allow the chatbot to provide students with up-to-date and accurate information. Methods used to answer the questions.

The chatbot will use a variety of AI technologies to answer student queries, including:  Natural language processing (NLP) to understand and respond to student queries in a natural and conversational way.  Machine learning (ML) to personalize recommendations to each student and to improve the chatbot's accuracy over time.  Knowledge graphs to store and organize information from a variety of sources, such as university websites, government websites, and student forums. Example of how the goals, questions, and methods fit together. One of the goals of the project is to help international students find accommodation. A student might ask the chatbot the following question: "What are some good neighborhoods to live in near my university?" The chatbot would use NLP to understand the student's query and then use ML to generate a personalized recommendation based on the student's interests and needs. The chatbot could also use knowledge graphs to provide the student with information about the different neighborhoods, such as the cost of rent, proximity to campus, and crime rates. Self-sufficient introduction The AI-powered chatbot proposed in this project will be an asset to international students. It will provide them with the information and support they need to survive and thrive in a foreign land. The chatbot will be unique in several ways. First, it will be specifically designed for international students. Second, it will be integrated with a variety of resources, such as university websites, government websites, and student forums. This will allow the chatbot to provide students with up-to-date and accurate information. Overall, the AI-powered chatbot proposed in this project is a highly innovative and promising solution to the challenges faced by international students. It has the potential to make a significant impact on the lives of students around the world.

Draft #1: Project Report Introduction The goal of this project is to develop an AI-powered chatbot to help international students survive and thrive in their new environment. The chatbot will provide students with information on a variety of topics, such as:

 How to find accommodation, transportation, and food  What to consider in the upcoming days or months, such as registering for classes, opening a bank account, and getting a student visa  Necessary documentation to be taken care of, such as a state ID and driver's license  How to approach professors for on-campus jobs The chatbot will be deployed in the cloud, making it accessible to students from anywhere in the world. Methods and Technologies: The chatbot will be developed using the following AI technologies:  Natural language processing (NLP): NLP will be used to enable the chatbot to understand and respond to student queries in a natural and conversational way.  Machine learning: Machine learning will be used to train the chatbot to provide personalized recommendations to each student.  Knowledge graph: A knowledge graph will be used to store and organize the information that the chatbot will use to answer student queries. Analysis  Market trends: The global market for AI-powered chatbots is expected to grow from $2.8 billion in 2022 to $10.5 billion by 2027. This growth is being driven by the increasing adoption of AI chatbots by businesses and organizations in a variety of industries, including education.  Competition: There are a few other AI-powered chatbots that have been developed to help students. However, these chatbots are typically focused on helping students with their academic work. The chatbot that will be developed in this project will be focused on helping students with all aspects of their lives as an international student, including their academic work, social life, and practical needs.  Product requirements: The chatbot will need to be able to understand and respond to a wide range of student queries in a natural and conversational way. The chatbot will also need to be able to provide personalized recommendations to each student.  Machine learning lifecycle: The machine learning lifecycle for the chatbot will involve the following steps: o Data collection: Data will be collected from a variety of sources, such as student surveys, university websites, and government websites. o Data preprocessing: The data will be cleaned and prepared for training. o Model training: A machine learning model will be trained on the preprocessed data. o Model evaluation: The trained model will be evaluated on a held-out test set. o Model deployment: The trained model will be deployed to production.

o Model monitoring: The deployed model will be monitored for performance and accuracy.  Benefits of the proposed approach: The proposed approach is beneficial compared to the status quo or conventional methodologies in the following ways: o The chatbot will be able to provide students with personalized information and support 24/7. o The chatbot will be able to help students with a wide range of tasks, including finding accommodation, transportation, and food, and getting help with their academic work. o The chatbot will be able to help reduce the stress and anxiety that many international students experience when they first arrive in a new country.  Risks: The main risk associated with this project is that the chatbot may not be able to accurately understand and respond to student queries. This risk can be mitigated by carefully selecting the AI technologies and by training the chatbot on a large and diverse dataset of student queries.  Financial feasibility: The proposed project is financially feasible. The cost of developing and deploying the chatbot is relatively low. The chatbot is also expected to generate revenue from advertising and sponsorships.  Expected ROI: The expected ROI for the proposed project is 20% over five years.  Synergies with other businesses or technologies: The chatbot can be integrated with other businesses and technologies, such as university websites and student information systems. This integration will allow the chatbot to provide students with more comprehensive and personalized information and support.  Social and environmental impact: The proposed project will have a positive social and environmental impact. The chatbot will help international students to have a more positive and productive experience. The chatbot will also help to reduce the environmental impact of student travel by providing students with information on how to get around without using a car. Interpretation and Conclusions: The proposed project is feasible and has the potential to have a positive impact on international students. The chatbot is expected to provide students with personalized information and support, which will help them to have a more positive and productive experience. The chatbot is also expected to generate revenue from advertising and sponsorships. Recommendations The following recommendations are made:  The chatbot should be developed using the latest AI technologies, such as natural language processing, machine learning, and knowledge graphs.  The chatbot should be trained on a large and diverse dataset

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