Interned at AJ Technology for 15 days, specializing in IoT and Android
application projects
Acquired foundational knowledge for initiatives integrating the Internet of
Things
Optimized IoT-based projects by acquiring essential knowledge in wireless
sensor networks, data analytics, and cloud computing, improving project
efficiency and scalability
Following my internship,created pygames
PROJECT
SPEECH EMOTION RECOGNITION USING PYTHON | head
undergrade researcher
SMART AND SAFE
Coimbatore
03.2023 - 01.2024
Collaborated with Mugilan, Mukunth, and Prof
Devandrakumar to develop a
cutting-edge tool utilizing large-scale user preference feedback for speech
emotion detection, resulting in a 25 percentage of increase in accuracy and
improved user experience
Speech emotion recognition is an act of predicting human’s emotion through
their speech along with the accuracy of prediction
It creates a better human
computer interaction
Developed a user-friendly interface for real-time emotion prediction,
integrating machine learning modelslike Support Vector Machines (SVM) and
Neural Networks to classify emotions accurately from extractedfeatures.(on
process)
Engineered a robust speech signal processing pipeline, implementing MFCC
and chroma features extraction,resulting in enhanced accuracy for emotion
prediction from live speech input.(on process)
RIDING JACKET |Head Undergraduate
Researcher
Coimbatore
03.2021 - 05.2021
Led the development of the first ever breakthrough accidents are controlled
game with Prof kokila to aid in Linguistics research
Developed and implemented a Smart Jacket equipped with state-of-the-art
sensors to monitor employee health, providing real-time safety measures
against industrial hazards
Spearheaded the creation of a Smart Jacket integrating smart sensors,
revolutionizing workplace safety by enhancing visibility and alerting others of
the wearer’s presence in low visibility situations; resulted in a 30 percentage
reduction in accidents and increased overall worker safety awareness.