👨‍🎓 About me

• I am a 3^rd-year Computer Science undergraduate at IEM, Kolkata, and I am strongly interested in cryptography and machine learning.
  
• Currently, I am a Long-Term Project Student at Presidency University under Prof. Avishek Adhikary, working with Visual Cryptography and Secret Image Sharing.
  
• Additionally, I serve as a Research Assistant at the Centre of Excellence for Cloud Computing & IoT under IEDC CSE, working with project Agrogenie, which involves exploring data science in agriculture.
  Looking ahead, I aspire to pursue higher studies, potentially a Ph.D., with the ultimate goal of becoming a professor in the future. 👨🏼‍🏫

🎓 Academic Details

Bachelor of Technology in Computer Science & Engineering (Artificial Intelligence & Machine Learning)

Institute of Engineering & Management, Kolkata - (2022-26)

• GPA: 9.46

👨🏻‍🔬 Projects

An Overview of the Discrete Logarithm Problem in Cryptography

• First research experience, including the conception and implementation of a review paper.
• Learned to read, understand, and draw conclusions from research papers.
• Gained insights into progress in public-key cryptography research.
• Presented the first draft as a Poster.
• Accepted and Presented in ICACA-2024.
  

AgroGenie: A smart approach to agriculture using Machine Learning

• This research involves the utilization of a Machine-learning-based approach to analyze the values of several parameters influencing crop growth. It then accepts a novel set of input parameters and recommends the most probable crops that can be cultivated.
• Adequate preprocessing methods have been applied to ensure the optimum removal of partiality from data. The ML models have been compared for their performance using a well-accepted validation measure, with Random Forest achieving a 99.6% accuracy.
• Then, crops with similar features have been clustered to provide more flexible farming options for the farmer.
  
• Accepted and Presented in ICISA-2024.
  

IoT-based CO2 level monitoring system

• Worked in a team of 6 designing an IoT-enabled CO2 monitoring system using components such as NodeMCU-esp8266, mq135(gas sensor), & dht-11(temperature & humidity Sensor). Used ThingSpeak to plot data from the device.
• Provides real-time CO2 level monitoring in ppm, and alarms the user through a buzzer and LED light when the CO2 level exceeds 500 ppm.
• I worked on writing and debugging the code in Arduino IDE and calibrating the mq135.
• Link to ArXiv Article