Ms. Chaithanya K M

Assistant Professor

Department of Artificial Intelligence and Machine Learning

CMR Institute of Technology, Bangalore, India

E-mail id- chaithanya.km@cmrit.ac.in

Mobile Number: +91- 6363034982

Bio

Dedicated and enthusiastic academician with a strong foundation in Computer Science and Engineering. Holds an M.Tech in Computer Science and Engineering and a B.E. in Information Science and Engineering. Currently serving as an Assistant Professor in the Department of Artificial Intelligence and Machine Learning at CMR Institute of Technology (CMRIT), Bengaluru. Passionate about delivering quality education through innovative teaching methodologies, mentoring students, and fostering academic excellence. Research interests include Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, and Software Engineering. Committed to continuous learning, professional development, and contributing to quality teaching, research, and innovation.

Professional Body Membership

IFERP – Membership ID: PROF 22676884

Areas of Interest in Teaching

Deep Learning
Machine Learning
Computer Networks
Software Engineering

Projects

An Efficient Lung Cancer Classification Model Using Deep Learning Approach

Developed a hybrid deep learning model integrating EfficientNetB0 and MobileNet for lung cancer classification using CT scan images.
Implemented U-Net-based segmentation to extract lung regions and improve feature extraction.
Applied image preprocessing techniques including grayscale conversion, resizing, Gaussian filtering, CLAHE, and normalization.
Achieved 99% classification accuracy for multi-class prediction (Normal, Benign, and Malignant).
Tools Used: Python, TensorFlow, Keras, OpenCV, and Scikit-learn.

Women Safety App

Designed and developed a Women Safety App to enhance women's safety during emergencies.
Implemented SOS alerts, emergency contact notification, and real-time location sharing.
Developed the application using modern web technologies with emphasis on usability and reliability.
Enhanced the application by incorporating user feedback and additional safety features.

Skills

Programming & Web Technologies

Python, HTML, CSS, SQL

AI & Machine Learning

Machine Learning, Deep Learning, Computer Vision

Academic & Teaching Skills

Lesson Planning
Student Mentoring
Outcome-Based Education (OBE)
Classroom & Lab Management

Soft Skills

Effective Communication
Teamwork
Critical Thinking
Time Management

Certifications

Automate Cybersecurity Tasks with Python – Coursera
Deep Learning – VTU MOOC
Programming Test – Spoken Tutorial, IIT Bombay

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