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  • Dundigal,Hyderabad, Telangana - 500043
  • info@mlritm.ac.in
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EAPCET Code:MLRS

Campus Placements 2026 :
Infosys (27) || ITC Infotech (13) || SLK Software (4) || Virtusa (3) || AI Health (1) || Kode Bloom (1) || PARA Innovation (1) || KT Semicon (1) || Integer Telecom (9) || JMAN (4) || Infosys (27) || ITC Infotech (13) || SLK Software (4) || Virtusa (3) || AI Health (1) || Kode Bloom (1) || PARA Innovation (1) || KT Semicon (1) || Integer Telecom (9) || JMAN (4)
Campus Placements 2025 :
COGNIZANT (65) || GLOBAL LOGIC (36) || Tech Mahindra (20) || INFOSYS (18) || CADSYS (18) || GLOBAL QUEST (17) || HCL (16) || Stellar Innovation (15) || SLK (9) || Sri Chakra (8) || EIDIKO (8) || KODEBLOOM TECHNOLOGY (7) || ALTUS ENERGY (6) || COGNIZANT BPO (6) || NOUS INFOSYSTEMS (4) || Nucleonix (4) || GENPACT (3) || PEOPLE TECH (3) || COGNIZANT (65) || GLOBAL LOGIC (36) || Tech Mahindra (20) || INFOSYS (18) || CADSYS (18) || GLOBAL QUEST (17) || HCL (16) || Stellar Innovation (15) || SLK (9) || Sri Chakra (8) || EIDIKO (8) || KODEBLOOM TECHNOLOGY (7) || ALTUS ENERGY (6) || COGNIZANT BPO (6) || NOUS INFOSYSTEMS (4) || Nucleonix (4) || GENPACT (3) || PEOPLE TECH (3)

Center of Excellence

Artificial Intelligence & Generative Technologies

Vision

  • To leverage Artificial Intelligence (AI) and Generative Technologies to create intelligent, adaptive, and innovative solutions that enhance human capabilities, drive sustainable development, and transform industries across healthcare, education, business, and society.

Mission

  • To develop and deploy ethical, reliable, and scalable AI systems that solve real-world problems.
  • To harness Generative AI technologies for creativity, automation, and personalized experiences.
  • To promote research, innovation, and interdisciplinary collaboration in AI-driven domains.
  • To ensure responsible AI usage with transparency, fairness, and data privacy.
  • To empower individuals and organizations with AI tools for improved decision-making and productivity.

Objectives

  • Encourage advanced research in Machine Learning, Deep Learning, and Generative AI.
  • Develop intelligent models for prediction, automation, and data analysis.
  • Explore emerging technologies like Natural Language Processing (NLP) and Computer Vision.
  • Train students and professionals in AI tools and technologies.
  • Encourage hands-on learning through projects and internships.
  • Develop AI-based products and services.
  • Support startups and innovation ecosystems.

Outcomes

  • Understand the fundamentals of Artificial Intelligence, Machine Learning, and Generative AI.
  • Explain key concepts such as Neural Networks, NLP, Computer Vision, and Large Language Models (LLMs).
  • Compare traditional algorithms with Generative AI approaches.