About
M.C.A, BMS College of Engineering, BengaluruAbout
M.C.A, BMS College of Engineering, BengaluruMy primary research interest lies in the intersection of data analysis, programming, and intelligent systems. I am particularly fascinated by how data, when processed through advanced programming and machine learning techniques, can transform into actionable insights that solve real-world problems. My journey into this field began with a curiosity for programming languages, which has grown into a passion for using them to build applications that are both impactful and innovative.
In recent years, I have been focusing on projects that combine data science, machine learning, and software development. For example, I developed a mobile application for potato leaf disease detection using deep learning models. This project not only deepened my understanding of convolutional neural networks and data preprocessing but also highlighted how AI-driven solutions can contribute to agriculture and sustainability. Through this work, I witnessed firsthand the potential of technology to increase efficiency and reduce manual effort in traditional domains.
My research also explores the use of statistical modeling and visualization tools such as Power BI and Python to interpret complex datasets. I am keen to expand my expertise in predictive analytics, model optimization, and the integration of cloud services to build scalable solutions. Another area of interest for me is in programming-driven web development, where I enjoy creating systems that present information in clear and interactive ways.
Looking ahead, my goal is to delve deeper into how data-centric programming and machine learning can be applied to domains such as education, healthcare, and environment. I believe that robust systems can be designed through the synergy of programming, algorithms, and
human-centered design. Through collaboration, research, and continuous learning, I aspire to contribute to building innovative tools and solutions that bring measurable impact and create value for society.
Bhageerathi T has taught at Chanakya University’s School of Computer Science since 2025. She is passionate about programming languages, data science, and intelligent systems, and is particularly interested in how data-driven solutions can be applied to solve real-world problems across domains.
She has worked on several applied research projects, including the development of a mobile application for potato leaf disease detection using deep learning models. Her work bridges machine learning, statistical modeling, and software development, focusing on tools such as Python, SQL, Power BI, and cloud-based platforms. Bhageerathi is also skilled in full-stack web development and has a keen interest in building intuitive, user-focused applications.
Her academic journey includes a Master of Computer Applications (MCA) from BMS College of Engineering, Bengaluru, and a Bachelor of Computer Applications (BCA) from PESIAMS College, Shivamogga. She has earned multiple certifications in Python programming, UI/UX design, and Power BI, and has participated in technical hackathons and state-level competitions. She brings a strong foundation in analytical thinking, problem-solving, and collaborative research, and aspires to contribute to impactful innovations in technology and education.
- MCA, 2024, BMS College of Engineering, Visvesvaraya Technological University, Bengaluru
- BCA, 2022, PESIAMS College, Kuvempu University, Shivamogga
Project 1
- Title: Potato Leaf Disease Detection Mobile App
- Duration: May 2024 to November 2024
- Granting Agency: Academic
- PIs/Co PIs: Bhagirathi T
- Purpose: To develop a mobile application for detecting potato leaf diseases using deep learning.
- Short Description : Designed and developed a mobile app integrating TensorFlow models with Android Studio for real-time disease classification of potato leaves. The project applied convolutional neural networks for image processing and achieved over 95% accuracy. Firebase was used for database management, improving agricultural efficiency and decision-making.
- Status: Ongoing/Completed: Completed
- Grant Amount: Not applicable
Project 2
- Title: Online Event Notice Board Website
- Duration: November 2023 to March 2024
- Granting Agency: Academic
- PIs/Co PIs: Bhagirathi T
- Purpose: To design a web-based platform for posting and managing institutional event notices.
- Short Description : Developed a full-stack web application using PHP, HTML, CSS, and JavaScript to create an interactive and user-friendly event notice board with real-time updates and notifications for students and faculty.
- Status: Ongoing/Completed: Completed
- Grant Amount: Not applicable
- Certified Python Programmer, HackerRank, 2023
- Certified UI/UX Designer, Coursera, 2023
- Java Programming Basics Certification, Great Learning, 2022
- 30-Day Power BI Micro Course, Skill Course, 2024
- Participant, SAHAJ CTF Hackathon, 2023
- 2nd Place, State-Level Abacus Competition, 2019
- Ranked 519th in PGCET Exam, 2023