Department Profile

Welcome to the Department of CSE-Artificial Intelligence and Machine Learning at Ramachandra College of Engineering . Our department is dedicated to fostering an environment of outstanding education, cutting-edge research, and innovation in the field of AI & ML. The department was established in the year 2022-2023 with an initial intake of 60 students, and from the academic year 2023-2024 the college nurtured as Autonomous and the department strength with an increased intake to 120 students. Graduates of B.Tech., in CSE (AI & ML) will acquire Computer Science & Engineering skills with an additional expertise in Artificial Intelligence and Machine Learning to work across many domains, including medicine, finance, robotics, and business intelligence.

Aim of the Department

  • To give students 100% job placement especially in AI market.
  • To make all students Industry Ready.
  • To impart training so that they will get valuable certifications in the areas of Applied Machine Learning, Deep Learning, Computer Vision and NLP etc.
  • To make the experts in development of Real time projects

Head of the Department

Dr .B. Sarada


HoD, Dept. of AI & ML

Dr. B. Sarada is a distinguished figure in the realm of Machine Learning, boasting a Doctorate in the field of Machine Learning and an impressive 25 years of combined teaching and research experience. Their exceptional contributions to academia include 10 published works in esteemed journals indexed in SCI and Scopus, focusing primarily on Artificial Intelligence (AI) and Machine Learning (ML). Dr. Sarada's research interests lie in utilizing AI to analyze medical images and detect diseases in patients, especially in underserved rural areas. Their dedication to innovation spans across various facets of AI/ML, showcasing a passion for both theoretical knowledge and practical applications. Dr. Sarada's profound commitment to shaping young minds and advancing the frontiers of AI and ML makes them an invaluable asset to our academic community.


  • The departments vision is to be at the forefront of good quality education, cutting-edge research, development and application of Artificial Intelligence (AI) and Machine Learning (ML) technologies


  • Empowerment through Education: Our primary mission is to provide comprehensive and high-quality education in AI and ML, equipping students with the knowledge, skills, and tools necessary to thrive in the AI-driven world. We promote lifelong learning in AI and ML by organizing workshops, seminars, conferences, and guest lectures to keep our community updated with the latest developments in the rapidly evolving field of AI.
  • Research Excellence: We strive for excellence in AI and ML research, aiming a collaborative and interdisciplinary research environment, we seek to address real-world challenges, contribute to academic literature, and develop innovative solutions that improve the lives of individuals and society as a whole.
  • Industry and Societal Power: The department is dedicated in bridging the gap between academia and industry, through industry partnerships, internships, and collaborative projects, with an aim to facilitate technology transfer and promote the practical application of AI and ML
  • Lifelong Learning: The department organizes workshops, seminars, webinars, and conferences to keep our community updated with the latest advancements in AI and ML. By embracing our vision and mission, Ramachandra College of Engineering's CSE-AI and Machine Learning Group endeavours to contribute significantly to the global AI community while nurturing future AI leaders who will drive positive change and innovation. Together, we will shape a future where AI and ML technologies enrich lives and drive sustainable progress.

PEO 1: Students will possess knowledge and the power of AI in wide spectrum from basic machine learning concepts to computer vision to advanced autonomous systems.
PEO 2: Students will get expertise to transform their theoretical knowledge and cutting-edge technology into innovative products towards solving real-world problems and helping society in several dimensions
PEO 3: Students will process enormous quantity of data and variety of algorithms to reveal hidden patterns, correlations, insights, and help organizations harness their data to identify new opportunities.

PSO 1 : Technical Skills: Apply the fundamental knowledge to develop AI based systems using computational principles, methods and systems for extracting knowledge from data and modern computational systems
PSO 2 : Leadership Skills: Demonstrate professionalism and ethics in managing academic/ non-academic activities as a team and an individual.
PSO 3 : Social Responsibility: Develop an attitude to understand the societal issues and apply the acquired professional skills to provide feasible AI-based solutions