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    <title>DSpace Collection:</title>
    <link>http://localhost:8080/xmlui/handle/123456789/3364</link>
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    <pubDate>Tue, 23 Jun 2026 06:16:36 GMT</pubDate>
    <dc:date>2026-06-23T06:16:36Z</dc:date>
    <item>
      <title>Understanding Aspirations of First Year Undergraduate  Engineering Students</title>
      <link>http://localhost:8080/xmlui/handle/123456789/3389</link>
      <description>Title: Understanding Aspirations of First Year Undergraduate  Engineering Students
Authors: Shahabadkar, Pramod; Joshi, Ajinkya; Lele, Vaishali; Patil, Vilas
Abstract: Success of any educational institute &#xD;
largely depends upon how the students excel after &#xD;
they complete their studies. This may be in terms of &#xD;
obtaining dream placement, admission to higher &#xD;
studies in reputed institutes or even starting a &#xD;
venture of their choice. Desired results can be &#xD;
achieved if the aspirations are understood at an &#xD;
early stage and students are groomed properly for &#xD;
achieving their dreams. The objective of this study&#xD;
is to understand the aspirations of engineering &#xD;
students in their first year itself and develop a &#xD;
model for nurturing these aspirations. This paper &#xD;
also identifies factors influencing changes in &#xD;
aspirations and the contribution of these factors.&#xD;
In the present study, the aspirations of &#xD;
undergraduate engineering students were collected &#xD;
immediately after their admission. This activity &#xD;
was carried out consecutively for three academic&#xD;
years: 2017-18, 2018-19 and 2019-20. Aspirations &#xD;
of 2043 students were collected during this period &#xD;
by using IT tools. The study indicated that &#xD;
maximum students during their first year &#xD;
engineering were inclined towards obtaining &#xD;
placements in multinational firms followed by &#xD;
seeking admission to higher education in reputed &#xD;
institutes, entrepreneurship and joining the civil &#xD;
services. The institute under consideration has &#xD;
developed a five stage model to help the students in &#xD;
fulfilling their aspirations. This includes &#xD;
establishment of a Career Development Cell, &#xD;
Entrepreneurship Development Cell, International &#xD;
Facilitation Centre, Higher Study Cell and Novel &#xD;
Master Student Program. &#xD;
Aspirations were collected again during the &#xD;
final year in order to understand the deviations &#xD;
when students moved from first to final year. &#xD;
Results indicate that there was a substantial shift in &#xD;
the student aspirations. By the time the students &#xD;
reached the final year, there was an increase of &#xD;
47.90&#xD;
% in the number of students who opted for &#xD;
placements while the number of students planning &#xD;
for higher studies decreased by 30.51%.&#xD;
Brainstorming session was conducted to identifythe factors that prompted the students to change &#xD;
their minds during their course curriculum.&#xD;
The data presented here will give an insight to &#xD;
the academicians and institutes in understanding&#xD;
student ambitions and developing a model for &#xD;
fulfilling them</description>
      <pubDate>Sat, 23 Jan 2021 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://localhost:8080/xmlui/handle/123456789/3389</guid>
      <dc:date>2021-01-23T00:00:00Z</dc:date>
    </item>
    <item>
      <title>Skill Development of Students through Hands-on  Workshop</title>
      <link>http://localhost:8080/xmlui/handle/123456789/3388</link>
      <description>Title: Skill Development of Students through Hands-on  Workshop
Authors: Admane, Manisha R; Mondhe, Parag J
Abstract: Now a days, lot of focus is given to innovative &#xD;
teaching and learning methodologies. The aim of this paper &#xD;
is to engage and motivate the students for lifelong learning. &#xD;
Moreover, it is also necessary to enhance the skills of the &#xD;
students. Keeping this objective in mind, hands-on &#xD;
workshop was organized for the third year engineering&#xD;
students of Electronics branch of the institute. The workshop &#xD;
was aimed to enhance hands-on skills among the students. &#xD;
The workshop also focused on boosting the confidence level &#xD;
of the weak students in the class. Equal number of bright and &#xD;
weak students were selected for this workshop. The students &#xD;
were identified by considering few parameters such as &#xD;
performance in pre-requisite theory course, performance in &#xD;
pre-requisite laboratory course, performance in pre-requisite &#xD;
knowledge test, and feedback from the mentor. It is observed &#xD;
that the weak students outperformed bright students in &#xD;
hands-on skills assignment. Weak students showed&#xD;
enthusiasm while performing hands-on than solving &#xD;
theoretical assignment. Whereas few bright students &#xD;
couldn’t speed up with weak students in hands-on but they &#xD;
were interested in solving theoretical assignments. It was &#xD;
also observed that students gave overwhelming response in &#xD;
solving open ended design assignment and its &#xD;
implementation. This assignment has attained the highest &#xD;
level of Bloom’s taxonomy. This study concludes that &#xD;
performance of the students depends on their interest. In &#xD;
future, students can be categorized in three levels as bright, &#xD;
average and weak and suitable activities can be planned for &#xD;
their skills development.</description>
      <pubDate>Wed, 06 Jan 2021 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://localhost:8080/xmlui/handle/123456789/3388</guid>
      <dc:date>2021-01-06T00:00:00Z</dc:date>
    </item>
    <item>
      <title>Face Recognition Technology based Smart  Doorbell System using Python’s OpenCV librar</title>
      <link>http://localhost:8080/xmlui/handle/123456789/3387</link>
      <description>Title: Face Recognition Technology based Smart  Doorbell System using Python’s OpenCV librar
Authors: Malve, Shweta
Abstract: In recent years, face recognition technology has &#xD;
proved to be the most popular method of contactless biometric &#xD;
system, outstanding the ones based on iris, voice and gait &#xD;
recognition. Moreover, computers can now outperform humans &#xD;
in terms of many face recognition tasks particularly when it &#xD;
comes to searching of faces in larger databases, capturing and &#xD;
storing minute facial details in as minimal format as possible. A &#xD;
system with the ability to detect and recognize faces has many &#xD;
potential outcomes not just in crowded places but in home &#xD;
security systems as well. One such application of automating the &#xD;
household doorbell can not only solve the security issues but also &#xD;
offer extra flexibility to smart house control by recognizing the &#xD;
person at doorstep and announcing the name. We propose a &#xD;
system by making use of Raspberry-Pi with ARMv8 Cortex-A53 &#xD;
as the core. The project aims at porting the Open Source &#xD;
Computer Vision (OpenCV) library to the Raspberry-Pi board &#xD;
and using its pre-trained classifier Haar-Cascade and recognizer &#xD;
Local Binary Pattern Histogram (LBPH) for face detection and &#xD;
recognition purpose. Furthermore, using the Raspberry-pi &#xD;
accelerated command line media player, name of the person will &#xD;
be announced and faces unknown to the database will be &#xD;
captured and stored. This low-cost and low-power system will &#xD;
indeed prove a boon for persons with disabilities.</description>
      <pubDate>Thu, 10 Jun 2021 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://localhost:8080/xmlui/handle/123456789/3387</guid>
      <dc:date>2021-06-10T00:00:00Z</dc:date>
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