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The College Chatbot

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2017
Darshil Gada, Yash Mehta, Riddhish Shah, Mohan Sharma, Aayush Shah

Darshil Gada, Yash Mehta, Riddhish Shah, Mohan Sharma and Aayush Shah. The College Chatbot. International Journal of Computer Applications 173(7):34-37, September 2017. BibTeX

	author = {Darshil Gada and Yash Mehta and Riddhish Shah and Mohan Sharma and Aayush Shah},
	title = {The College Chatbot},
	journal = {International Journal of Computer Applications},
	issue_date = {September 2017},
	volume = {173},
	number = {7},
	month = {Sep},
	year = {2017},
	issn = {0975-8887},
	pages = {34-37},
	numpages = {4},
	url = {},
	doi = {10.5120/ijca2017915367},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


A lot of metadata, information about data, is stored in the world that can help us in gathering significant patterns and forming complex relations among data. This information can be utilised carefully to extract some meaningful and marketable products. A very common example of metadata is information about students in a university. This data is used by our system, The College Chatbot (CC), to provide quick and smart replies to queries provided by students as well as teachers. The CC will remove the redundancy of teachers sending information or notifying students of something via a middleware such as Whatsapp or a middle agent i.e the class representative. It will also allow the students to search for their seniors information regarding their future decisions or information related to their colleagues or their teachers. The system also provides an easy access to all the placement information a student requires in a convenient and efficient manner.


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Intent analysis, Entity analysis, Chatbots