• Presented and participate the paper “Classification of WBC using deep learning for diagnosing diseases”on IEEE International conference on inventive communication and computational technologies held on combathore 2018.
• Presented and participate the paper “Detecting insurance claims fraud using machine learning techniques “ IEEE International conference on circuit ,power and computing technology held on kollam 2017.
• Participate the workshop “Digital learning and production : massive open online” courses held at little flower college on 28 th January 2019
• Participate the workshop “machine learning” held at vidya academy of science and technology, thalakkottukara on 16 th -20 th 2018 January.
•  Participate the workshop “Ethical hacking expert “at Jyothi engineering college,cheruthuruthy.
•  Participate the workshop “How to write a research paper “at Jyothi engineering college,cheruthuruthy.

Research Interests :

• machine learning
• artificial neural networks
• deep learning

•  The paper entitled “Counting and Classification of white blood cells using deep learning for diagnosing the diseases ”presented and published in IEEE international conference on inventive communication and computational technologies (IEEE- ICICCT-2018)
• The paper entitled “Detecting insurance claims fraud using machine learning techniques” presented and published in IEEE international conference on circuit ,power and computing technology(IEEE-ICCPCT- 2017)

Guided projects :

• Guided the  project name entitled "kerala can" Designing and developing an interactive website to promote and support cancer awareness, early detection, and treatment initiatives across Kerala.
•   Developing an integrated Digital Panchayat System that streamlines NREGA workflows, enabling transparent management of employment schemes, wage payments, and rural development projects.
• Building a secure e-voting platform incorporating 3D SecureGuard technology to ensure multi-layered authentication and protect voter data integrity.
• Developing an integrated Disaster Management System to monitor risks, provide early warnings, and coordinate emergency response efforts, ensuring efficient management of resources during crises.