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Ph.D Guidance in Artificial Intelligence

Artificial Intelligence (AI) technology is the superordinate of different approaches for big data analytics such as machine learning algorithms, and deep learning techniques. AI algorithms are mathematical models that assist in improving the consequence of the specific process or automating a certain routine task. It can build an intelligent system for deciding on their own, whereas the intelligence refers to the kind of thinking and acting over the dynamic environment. In the AI, the intelligence of the system done using programming that allows a system to learn and act upon the real-time environment by exploiting the previous occurrence of the event. In the AI system, the system intends to act like a human when it incorporates the abundant information from the facts, categories, properties objects, and the relation between each of them.

In order to perceive the impact of the AI system, it is significant to learn from the previous actions, as well as to predict its future directions and ethical, potential legal, implications. Due to the enhanced accuracy and the sophistication characteristics of AI system, it has become a fascinating technique in real-time applications such as finance, manufacturing, education, pharmaceuticals, transport, recognition system, spam and malware filers, self-driving cars, recommender system, industrial robots, and predictive maintenance. Also, it can provide a precise and optimal solution to the business related problems by exploiting the techniques such as heuristics, Neural Network, and Hidden Markov Model (HMM).

  • Research Proposal in Artificial Intelligence
  • Problem Identification in Artificial Intelligence
  • Research Methodology
  • Mathematical Model / Formulation
  • Literature Survey in Artificial Intelligence
  • System Design and Implementation
  • Performance Analysis and Results
  • Writing Services: Journal Papers, Synopsis and Thesis



Computer Science and Engineering, Computer Science, Computer applications, Information Technology and Computer Networks


Computer Science and Engineering, Computer Science, Computer Networks and Information Technology