TY  - JOUR
AU  - M Sreenandan Reddy
AU  - Madam Kiran Kumar
AU  - Mylagani Jyoshna
AU  - Nagepalli Jyothi
AU  - Challa Navya
AU  - Marati Sindhe Lokesh
AU  - Kavali Tharun
PY  - 2026
DA  - 2026/04/25
TI  - Automated Data Analyzer Using Generative - AI
JO  - Global Journal of Engineering Innovations and Interdisciplinary Research
VL  - 6
IS  - 4
AB  - 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.
SN  - 3066-1226
UR  - https://dx.doi.org/10.33425/3066-1226.1295
DO  - 10.33425/3066-1226.1295