AIClub 2023 Student Research Symposium
AI Research and Innovations by Middle and High Schoolers
AIClub Research Symposium showcases innovative AI research projects done by students grades 6-12. These projects touch a variety of areas and fields; space, healthcare, social good, climate change, the fine arts and much more. Our Keynote Speaker this year is Ashish Bansal, who leads the core ML infrastructure at Google and is the author of Advanced Natural Language Processing with TensorFlow.
June 24th 2023
Live Online via Zoom
9:00 AM – 12:30 PM PDT
Our 2023 Symposium is a celebration of AI innovations by K-12 students.
This year, we are proud to have
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Keynote by Ashish Bansal, who leads the core ML infrastructure at Google and is the author of Advanced Natural Language Processing with TensorFlow.
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Presentations by Middle and High School students on AI in STEM, social good, new apps, and more.
Agenda
9:00 AM - 9:45 AM
9:45 AM - 10:30 AM
10:30 AM - 12:00 NOON
5 MINUTE BREAK
5 MINUTE BREAK
12:00 NOON - 12:30 PM
12:30 PM - 12:45 PM
Welcome
Dr. Nisha Talagala (CEO AIClub)
Keynote - What’s the big deal with big language models?
by Ashish Bansal
Student Presentations
(1) "A Machine Learning/Deep Learning Hybrid for Augmenting Teacher-LED Online Dance Education"
Catherine Hung
(2) "Accessible Machine Learning Classifier For Rapid Emergency Self-Diagnostics (ALFRED)"
Vatsal Sivaratri
(3) "Cybersecurity Defense with Deep Learning: Leveraging GANs to Improve Intrusion Detection Systems"
Nitin Krishnaswamy
(4) "A Novel, AI-based Web App to Detect Benign vs Malignant Oral Lesions from Intraoral Mobile Camera Images"
Mahima Wuppalapati
(5) "Hydroponic Lettuce: Navigating Nutrient Deficiencies"
Aisha Risvi
(6) "Hate Speech Detection"
Naiya Daswani
(7) "Building a Smarter Surveillance System: Real-Time Animal Identification using Deep Learning"
Jordan Labio
(8) "Real-time Waste Segregation at the Individual Level: The Smart Waste Sorter"
Shriya Shukla
(9) "The Multi-Tier Artificial Intelligence Prediction Architecture: A Novel Approach to Intracranial Hemorrhage Detection"
Shiven Balaji
(10) "Artificial Intelligence Assisted Violin Performance Learning"
Hannah Zhang
Research, APs and Beyond - Getting Ready for College
Dr.Nisha Talagala - CEO AIClub
Main Session Concludes
Keynote Speaker
Ashish Bansal
Ashish currently works on accelerating ML workloads at Google. Previously, he has worked on recommendation systems and NLP at Amazon/Twitch, Twitter, and Capital One. He has founded startups and worked in large enterprises over his 20+ year-long career. Ashish published a book on Advanced NLP. He is the co-founder of the IIT AI/ML forum, growing it to over 1500 members.
Keynote: What’s the big deal with big language models?
Ashish will present the key architectural foundations leading to the development of LLMs and present some thoughts on future directions. A Q&A session will be included.
Ashish Bansal
AI Leader, Author, Engineering Leadership at Google
Student Presentations
A Machine Learning/Deep Learning Hybrid for Augmenting Teacher-LED Online Dance Education
Catherine Hung
AI in combination with the fine arts can produce unique innovations. This student trained her AI to understand and teach ballet to students, making dance education accessible and affordable to many aspiring students.
Cybersecurity Defense with Deep Learning: Leveraging GANs to Improve Intrusion Detection Systems
Nitin Krishnaswamy
Cyber attacks are on the rise, with the annual cost of cybercrime predicted to reach $10.5 trillion by 2025. This student used deep learning to enhance the security of intrusion detection systems.
A Novel, AI-based Web App to Detect Benign vs Malignant Oral Lesions from Intraoral Mobile Camera Images
Mahima Wuppalapati
Oral cancer is believed to be the 13th most common cancer worldwide. This student created a web app that utilizes AI to accurately identify and differentiate between benign and malignant oral lesions using images captured from an intraoral mobile camera.
Hydroponic Lettuce: Navigating Nutrient Deficiencies
Aisha Risvi
Hydroponic lettuce cultivation offers a soilless and controlled environment for growing nutrient-rich lettuce with efficient water usage and optimal growth conditions. This student used AI to navigate and control possible nutrient deficiencies when growing hydroponic lettuce.
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Accessible Machine Learning Classifier For Rapid Emergency Self-Diagnostics (ALFRED)
Vatsal Sivaratri
ALFRED is an accessible and user-friendly solution that assists individuals dealing with epidermal abrasions, such as cuts, burns, and lacerations. This student's app reduces the response time for users to reach out to emergency services and other necessary contacts during times of danger and provides valuable info on injuries.
Real-time Waste Segregation at the Individual Level: The Smart Waste Sorter
Shriya Shukla
Recognizing that improper waste disposal contributes to global warming and landfill accumulation, this student developed an innovative solution called the Smart Waste Sorter. This device utilizes AI to identify whether a piece of trash belongs in the correct bin, and uses audible beeps to alert users when an item is being improperly disposed of.
Building a Smarter Surveillance System: Real-Time Animal Identification using Deep Learning
Jordan Labio
This student developed an advanced system that utilizes deep learning algorithms to identify and classify animals in real-time, enhancing wildlife monitoring and conservation efforts.
Artificial Intelligence Assisted Violin Performance Learning
Hannah Zhang
This student utilized AI to enhance the process of learning to play the violin. Combining AI with instrument learning, this project harnesses the power of artificial intelligence to revolutionize learning, providing personalized guidance, feedback, and analysis for aspiring musicians
The Multi-Tier Artificial Intelligence Prediction Architecture: A Novel Approach to Intracranial Hemorrhage Detection
Shiven Balaji
Intracranial hemorrhage refers to bleeding that occurs within the skull, leading to the accumulation of blood. AI can be utilized in intracranial hemorrhage detection and diagnosis by analyzing medical images, assisting healthcare professionals in making accurate and timely decisions for treatment.
Hate Speech Detection
Naiya Daswani
Online hate speech can have detrimental effects, leading to lowered self-esteem, increased psychological distress, and fostering a toxic online environment. This student developed a service called Filter'd, which detects and classifies hate speech using AI. This project aims to create a safer place for youth on social media and other online platforms.
