CAPSTONE PROJECT
REVIEW I
Title of the Project
Name : R.Rajesh Kumar
Register No:19BCE101
Programme & Specialization : B.Tech CSE
Guide Name:
Dr. Abdul Quadir Md.
School of Computer Science and Engineering
19BCE101
1
Outline
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Introduction
Literature Review (15 Latest Papers – Minimum - from Reputed Journals/Conferences)
Research Gap
Problem Statement
Research Motivation
Research Challenges
Research Objective
What is to be done next (1 Slide)
Research Paper Status
Guide Approval mail snapshot
References
School of Computer Science and Engineering
19BCE101
2
Introduction(Max 2 slides)
• A capstone course, also known as senior synthesis, capstone unit, capstone
module, capstone project, capstone subject, or capstone experience serves as the
culminating and usually integrative experience of an educational program.[1]
• It may also be referred to as senior seminar (in the U.S.) or final year
project (more common in the U.K.).
• The term derives from the final decorative coping or "cap-stone" used to
complete a building or monument.
• In higher education, the term has been in common use in the USA since the midtwentieth century, although there is evidence that it was in use as early as the
late 1800s.[5] I
School of Computer Science and Engineering
19BCE101
3
Background Work, Challenges ( Max 3 to 4
Slides)
School of Computer Science and Engineering
19BCE101
4
Literature Review/Survey ( Max 7 slides- 15 Latest
Papers from journals & conferences) Each slide
maximum of 2 to 3 papers
S.No
Paper Title (APA Format)
[1]
Jordan, M. I., & Mitchell, T. M. (2015).
Machine
learning:
Trends,
perspectives, and prospects. Science,
349(6245), 255-260.
[2]
Shah, D., Patel, S., & Bharti, S. K.
(2020). Heart disease prediction using
machine learning techniques. SN
Computer Science, 1(6), 1-6.
Summary
Algorithms Used
School of Computer Science and Engineering
19BCE101
Pros / Cons
5
Literature Review [Conti..]
S.No
Paper Title (APA Format)
[1]
Jordan, M. I., & Mitchell, T. M. (2015).
Machine
learning:
Trends,
perspectives, and prospects. Science,
349(6245), 255-260.
[2]
Shah, D., Patel, S., & Bharti, S. K.
(2020). Heart disease prediction using
machine learning techniques. SN
Computer Science, 1(6), 1-6.
Summary
Algorithms Used
School of Computer Science and Engineering
19BCE101
Pros / Cons
6
Research Gap
School of Computer Science and Engineering
19BCE101
7
Problem Statement
School of Computer Science and Engineering
19BCE101
8
Research Motivation
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19BCE101
9
Research Challenges
School of Computer Science and Engineering
19BCE101
10
Research objectives
School of Computer Science and Engineering
19BCE101
11
Work to be Completed(What is to do be done
in Review 2)
School of Computer Science and Engineering
19BCE101
12
Guide Approval Snapshot
School of Computer Science and Engineering
19BCE101
13
Any other additional information to be added
by Guide
School of Computer Science and Engineering
19BCE101
14
References ( Same order as Literature Review)
[1] Jordan, M. I., & Mitchell, T. M. (2015). Machine learning: Trends,
perspectives, and prospects. Science, 349(6245), 255-260.
[2] Shah, D., Patel, S., & Bharti, S. K. (2020). Heart disease prediction
using machine learning techniques. SN Computer Science, 1(6), 1-6.
School of Computer Science and Engineering
19BCE101
15
Thank You
School of Computer Science and Engineering
19BCE101
16