Automated Data Analyzer Using Generative - AI
M Sreenandan Reddy,
Madam Kiran Kumar,
Mylagani Jyoshna,
Nagepalli Jyothi,
Challa Navya,
Marati Sindhe Lokesh,
Kavali Tharun
Circulars are the primary mode of communication in an established hierarchy. The Vishweshvaraya
Technological University releases around 35-40 circulars every month which averages to around 450
annually. RVCE administration themselves generate up to 15-20 circulars on a monthly basis. It is
tedious for an individual to keep track of the large flow of crucial information. A machine learning model
thus becomes necessary to meticulously scan the documents, classify the information and present the
essence in a brief manner. This paper presents a machine learning model developed in Python that is
capable of classifying announcements given by the college into four categories: fees, exams, holidays,
and events. The classification of the documents are carried out using the SVM algorithm. Using computer
vision algorithms, crucial data such as the circular id, date of issue, authority signatures, and tabular
data are retrieved. All of this information is placed into a template to produce a brief, easy-to-read
notification. To automate the transmission of these templates to their appropriate stakeholders, a mail
bot is created. The model achieved an accuracy of 98.2%. The results clearly reflect that the model can
accurately classify announcements into the four categories with a high degree of reliability.
