Page 15 - Triumphus - May 2026 - 2
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St.Joseph's Institute of Technology


                                        Staff’s Achievements










                                        Dr.  Tephillah  S,  Associate  Professor,  from  the  Department  of

                                        Electronics and Communication Engineering, has completed the
                                        NPTEL  course  Wireless  Ad  Hoc  and  Sensor  Networks  with  an
                                        Elite certification, achieving an outstanding consolidated score

                                        of 90% and securing a place among the Top 5% of performers.

                                        This  accomplishment  reflects  remarkable  dedication  and
                                        academic excellence. This achievement is a proud milestone and

                                        an inspiration for everyone to strive for excellence in emerging
                                        technologies and continuous learning.


                                      Student  Achievements





              The  Department  of  Mathematics  at  St.  Joseph’s  Institute  of  Technology,  Chennai

              proudly announces a remarkable innovation by its young researchers. A patent titled
              “An  AI-Based  Multilingual  Agricultural  Advisory  and  Disease  Detection  System  with

              Multi-Channel Farmer Communication” has been published in April 2026.
              This  pioneering  work  was  developed  by  Mr.  Dharshan  Devaraj  J  and  Mr.  Abdul  Malik

              Wafaran G H, under the guidance of Dr. R. Prabakaran, Assistant Professor, Department
              of Mathematics. The invention addresses the challenges faced by farmers, particularly

              those  with  limited  literacy,  by  integrating  artificial  intelligence  with  multilingual
              communication tools.

              The system leverages real-time environmental data—such as soil parameters, moisture,

              temperature,  and  rainfall—within  a  centralized  AI  framework.  It  provides  crop
              recommendations,  detects  plant  diseases  through  leaf  image  analysis,  and  delivers
              advisory  support  via  adaptive  accessibility  features,  multilingual  text,  symbol-based

              guidance, and low-bandwidth communication channels.

              This  innovation  stands  out  for  its  inclusivity,  scalability,  and  potential  to  transform
              agricultural  practices  by  empowering  farmers  with  accessible,  technology-driven

              solutions.  The  achievement  reflects  the  institute’s  commitment  to  fostering  student
              research and industry-relevant problem solving.









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