Hritik: Good morning, to one and all present!

I am Hritik Saxena, and it is my absolute pleasure to extend a warm welcome to all of you
attending the 1st IEEE International Conference on Computing, Sciences, and
Communication. This track focusses on Machine Learning & AI. It is truly an honor to be your
anchor for this prestigious event. We are delighted to have such a distinguished gathering of
professionals, researchers, and scholars who have come together to exchange knowledge,
insights, and innovations in the fields of computing, sciences, and communication.

Before we begin, I would like to take a moment to introduce some of the esteemed individuals
who will be guiding us through today’s session.

Firstly, I have the honor of introducing Dr. Archana Singh, who will be serving as our External
Session Chair for the day. Dr. Archana Singh is a Senior Research Data Scientist at Foresight
Health Solutions with over 22 years of experience in academia and the IT industry. Formerly
Head of AI at Amity University, her research spans Data Science, Deep Learning, AR/VR, and
Cognitive Sciences. She has authored over 80 papers in top journals, contributed to AI/ML
projects, and serves as a reviewer for international journals. Dr. Singh also actively participates
in conferences, has published books, and mentors graduates and Ph.D. scholars. We are grateful
to have her with us to lend her expertise and insights to the discussions ahead. Alongside her, we
have Dr. Puneet Kumar Agarwal Sir, who will be serving as the Internal Session Chair for
the session. Dr. Puneet Kumar Aggarwal, an Associate Professor of Computer Science and
Engineering with over 14 years of experience, specializes in AI, machine learning, and IoT
systems. He holds a Ph.D. from Amity University and has published extensively on IoT, machine
learning, and medical image processing. Dr. Aggarwal holds patents in wireless earbuds and
disease detection systems and has authored books on 6G, energy management, and
cybersecurity. He has previously held positions at ABES Engineering College and HMR Institute
of Technology.

Uviraj: To officially welcome Dr. Archana Singh Mam, I would like to request Dr. Puneet Sir
to kindly present her with a token of appreciation, symbolized by the traditional act of offering a
sapling. This gesture reflects our commitment to growth, learning, and the nurturing of new ideas
that we hope to cultivate through this conference.

[wait]

Thank you so much sir, for your kind gesture.

Now, without further delay, it is my privilege to invite Ms. Sonvi Tyagi Mam. She will be
presenting the paper titled Eeg Brain Signal Emotion Classification Using Ai with the paper
ID 30. We eagerly look forward to hearing her insights on this topic, which promises to be both
enlightening and thought-provoking.

Over to you Sonvi Mam.

Thank you Mam for your valuable presentation. Your insights have certainly added a lot of depth
to today’s discussions, and I am confident that your ideas will spark further conversations and
inspire future research.

Now I would like to invite Ms. Aditi Sharma Mam. She will be presenting the paper titled Ai-
Ml Driven Forest Fire Early Detection System To Safeguard Ecosystems And Communities
with the paper ID 255.

Over to you Aditi Mam.

[Pause for presentation.]

Thank you, mam, for your insightful presentation. Your perspectives have greatly enriched
today's discussions, and I believe your ideas will not only ignite further dialogue but also inspire
ongoing research and innovation.

Hritik: Moving forward now I like to invite Mr. Atul SrivastavaSir. He will be presenting the
paper titled Methods And Applications For Sentiment Analysis In Online Social Networks
with the paper ID 281.

Over to you Atul sir

[Pause for presentation.]

Thank you, Sir, for your enlightening presentation. Your contributions have brought valuable
clarity to our discussions today, and I am certain that your ideas will lead to more in-depth
conversations and inspire future explorations in the field.

Now I would like to invite Mr. Sachin Upadhyay Sir. He will be presenting the paper titled
Harmonizing Ensemble Learning Strategies For Enhanced Coronary Artery Disease
Prediction with the paper ID 479.

Over to you Sachin Sir.

[Pause for presentation.]

Thank you for the informative presentation on *Harmonizing Ensemble Learning Strategies for
Enhanced Coronary Artery Disease Prediction*. Your research showcases a promising approach
to improving predictive accuracy in healthcare, and I am confident it will contribute significantly
to advancements in medical diagnostics and patient care..

Uviraj: Last but not least I like to welcome Mr. Mohd Umair Kidwai Sir. He will be presenting
the paper title Neuroendocrine Tumor Detection System with paper id 316.
Over to you sir

[Pause for presentation.]

Thank you for the enlightening presentation on the *Neuroendocrine Tumor Detection System*.
Your work represents a vital step forward in early detection and diagnosis, and I believe it holds
great potential to improve patient outcomes and revolutionize medical imaging in oncology.

Hritik: Let’s give a huge round of applause for all the presentation!

As a token of our appreciation, I would now like to invite Dr. Puneet Sir to present Dr.
Archana Mam with a memento. This gesture is in recognition of her dedication and for sharing
her expertise with us today.

[Pause for the presentation of the certificate and memento.]

Thank you once again Sir, for your valuable contribution.

Uviraj: Next, I would like to invite our faculty coordinator, Ms. Saumya Srivastava Mam and
Mr. Varun Kumar Sir, to kindly present a certificate of appreciation to Dr. Puneet Sir for his
efforts as our internal session chair and for him significant role in making this event possible.

[Pause for the presentation.]

Thank you, Puneet Sir, for your outstanding contributions.

To all our attendees, we have an exciting lineup ahead. I encourage each of you to actively
engage in the presentations and discussions, and make the most of this opportunity to connect
with fellow scholars and professionals. Thank you.