Student E Advisor Chatbot

Due to the increasing demand of transporting huge amount of information generated from various sources such as queries and voice. A Chatbot is an artificial intelligence-powered piece of software in a device. Some of them are Siri, Alexa, Google Assistant etc. Some of the ways in which

2025-06-28 16:36:10 - Adil Khan

Project Title

Student E Advisor Chatbot

Project Area of Specialization Artificial IntelligenceProject Summary

Due to the increasing demand of transporting huge amount of information generated from various sources such as queries and voice. A Chatbot is an artificial intelligence-powered piece of software in a device. Some of them are Siri, Alexa, Google Assistant etc. Some of the ways in which companies are using Chatbots to deliver flight information, to connect customers and their finances and as customer support. Since the bots are designed as conversational and friendly. The Student E-Advisor Chatbot will be embedded in university website, it will handle the queries of students who are getting admission, it will resolve the queries which are entered by the students like getting information about admissions, fee structure, programs departments and faculties. The chatbot will work on the self-base approach and will analysis the queries according to the dataset store in the knowledge database, it will make prediction by comparing and answer to the user on the basis of analysis.

Project Objectives

The Student E-Advisor Chatbot will handle and resolve the queries generated by the students, the bot will produce the result on the basis of analysis and prediction of the knowledge base which is embedded at the backend of the system. The basic purpose of developing the Student E-Advisor Chatbot is to facilitate the fresh students who are getting admission in the university and are not familiar about the university’s structure like admissions, fee, programs offered, departments and faculty. The chatbot will provide the information about the admission date and procedure of admission, fee of various programs and it’s submission, programs that are offered complete information about the duration and semester duration and subjects, the bot will also provide the information about the departments and faculty. There are various informative aspects that will be deal by the bot like Student Services Center (SSC). 

The Student E-Advisor Chatbot will handle and resolve the queries generated by the students, the bot will produce the result on the basis of analysis and prediction of the knowledge base which is embedded at the backend of the system. The basic purpose of developing the Student E-Advisor Chatbot is to facilitate the fresh students who are getting admission in the university and are not familiar about the university’s structure like admissions, fee, programs offered, departments and faculty. The chatbot will provide the information about the admission date and procedure of admission, fee of various programs and it’s submission, programs that are offered complete information about the duration and semester duration and subjects, the bot will also provide the information about the departments and faculty. There are various informative aspects that will be deal by the bot like Student Services Center (SSC). 

Project Implementation Method

The application tools, which are used in the development of are;

Benefits of the Project

The essential benefits are as follow i.e.

Technical Details of Final Deliverable

Student can input the diffrent queries and chatbot giving answer them by using the model in which we train it.

NLTk is use for processing the language and genrate the response of the pattern .

Data mining algos will be use for getting usefull patterns from the large amount of the data.

Final Deliverable of the Project Software SystemCore Industry EducationOther Industries IT , Food , Transportation Core Technology Artificial Intelligence(AI)Other Technologies OthersSustainable Development Goals Good Health and Well-Being for People, Quality EducationRequired Resources
Elapsed time in (days or weeks or month or quarter) since start of the project Milestone Deliverable
Month 1research about AI and design frontendfrontend design
Month 2gather data and process itdataset
Month 3train the model and do codingcomplete software

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