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Artificial Intelligence SEMINAR

Course Duration: Minimum 10 Days
Curriculum Delivery: Online / Offline
Timings & Schedules: Flexible time shift as per the convenience of candidates
Certification Authority: AIT Issued Seminar Completion Certificate
Seminar Index: Seminar Paper Research, Seminar Presentation Training, Documentation, Demo viva Section, PPT Presentation

About The Seminar

ATEES Industrial Training seminar paper involves everything that one needs to be successful in their respective career. The courses are designed to help candidates comprehend the topic and incorporate apt skills in their professional writing. We welcome questions from our candidates on how we can help them with the seminar preparation. In addition, our support team will guide one with seminar topics including quality discussion on the logical idea and technologies involved. The seminar paper is presented in four major sections: Introduction; Background; Analysis; and Conclusion. Each sub-sections will be researched and examined in detail in the subsequent pages.

Artificial Intelligence (AI) is the capacity of a digital computer or robot operated by a computer to carry out actions frequently performed by intelligent beings. The phrase is widely used to describe the effort to create Artificial Intelligence (AI) systems that possess human-like cognitive abilities like the capacity for reasoning, meaning-finding, generalisation, and experience-based learning. In general, the following subjects will be covered: Why Artificial Intelligence, Artificial Intelligence and its Significance, and Drawbacks of Artificial Intelligence. You can see how each component interacts with the section as a whole by looking at a few of the presentations that make up the section. Each element of a topic is defined before the material is cross-checked using a variety of technology-based research methodologies.

  • Why was created?
  • Features
  • Conclusion

No. Seminar Topics
1 Skeleton Based Abnormal Behaviour Recognition Using Spatio-Temporal Convolution and Attention-Based LSTM(ML+Python+DB Sqlite)
2 Plagiarism Detection Using Artificial Intelligence Technique In Multiple Files(AI+ML+Python+DB Sqlite)
3 Parallel SVM model for forest fire prediction (ML+Python+DB Sqlite)
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