01633nas a2200265   4500000000100000000000100001008004100002260001200043653002800055653002200083653001000105653001800115653002200133653002200155100001600177700001600193700001600209700001600225245004300241856009500284300001000379490000600389520095800395022001401353       2018                            d  c09/201810aArtificial Intelligence10aBackward Chaining10aCLIPS10aExpert System10aRule-based System10aVirtual Assistant1 aShikha Jain1 aPooja Lodhi1 aOmji Mishra1 aVasvi Bajaj00aStuA: An Intelligent Student Assistant  uhttp://www.ijimai.org/journal/sites/default/files/files/2018/02/ijimai_5_2_2_pdf_57769.pdf  a17-250 v53 aWith advanced innovation in digital technology, demand for virtual assistants is arising which can assist a person and at the same time, minimize the need for interaction with the human. Acknowledging the requirement, we propose an interactive and intelligent student assistant, StuA, which can help new-comer in a college who are hesitant in interacting with the seniors as they fear of being ragged. StuA is capable of answering all types of queries of a new-comer related to academics, examinations, library, hostel and extra curriculum activities. The model is designed using CLIPS which allows inferring using forward chaining. Nevertheless, a generalized algorithm for backward chaining for CLIPS is also implemented. Validation of the proposed model is presented in five steps which show that the model is complete and consistent with 99.16% accuracy of the knowledge model. Moreover, the backward chaining algorithm is found to be 100% accurate.  a1989-1660