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PBL 1 CSP254 (Project Based Learning)

  1 .  Project  Title Approval Form- Rubric #R0: Zeroth  Evaluation 2.  Project  Design Approval Form - Rubric #R1: First  Evaluation 3.  Project  Implementation  Review Form  -  Rubric #R2:  Second  Evaluation 4. Project Result Review Form - Rubric #R3: Third  Evaluation THE EXPECTED OUTCOME OF THE  PBL - 1  SHOULD BE ONE OF THE FOLLOWING: 1 .  Project  to Product 2.  Project  to Hackathon Competitions, etc. 3. Research Oriented- Publish the work research papers in SCI indexed Journals. 4. Research Oriented- Publish the work research papers in Scopus indexed Journals. 5. Research Oriented- Publish the work research papers in UGC CARE List.   6. Patents Publication PBL - 1   evaluation  is also associated with 01 Oracle Academy (OA) Course already assigned and informed to students. OA Course: Java Foundations The  assessment criteria of  PBL - 1  with ONE Oracle Academy Course is as follows: Rubrics  / Parameter Marks Assessment Method Zeroth  Evaluation 5 CA (25 Marks) Evaluation  - 
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Soft Computing CSA301

syllabus   Introductory PPT What is soft computing Fuzzy Set Mamdani Fuzzy Model
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Computer Vision (CSA401) / Computer Vision Lab (CAL401)

  Theory Syllabus Computer Vision Computer vision is a field of artificial intelligence that deals with how computers can gain high-level understanding from digital images or videos. From the perspective of engineering, it seeks to automate tasks that the human visual system can do. Computer vision tasks include: Object detection:  Identifying and locating objects in an image or video. Object classification:  Determining the category of an object. Scene understanding: Understanding the context of an image or video, such as the location of objects and their relationships to each other. Motion tracking:  Tracking the movement of objects over time. Face recognition:  Identifying and verifying people from their facial features. Computer vision is used in a wide variety of applications, including: Self-driving cars:  Computer vision is used to help self-driving cars see the road, other cars, pedestrians, and other
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