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Turn ideas into research projects

A world-class research program that has helped high school and middle school students win numerous competitions and publish papers.

Why AIClub Research Program?

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AIClub’s research program is the only one that enables middle and high school students to design and execute personalized research projects on topics they are passionate about, including science, healthcare, climate, sports, music, and more. Proven wins with 300+ national and international awards and 50+ research publications in the past 2 years alone. Six patents were submitted by students using their AIClub projects!​​ Join the program that transforms curiosity into groundbreaking research and real-world impact. Work 1:1 with expert mentors with Ph.Ds in computer science and artificial intelligence.

Our training has enabled thousands of students to secure spots at their dream universities.

We have guided thousands of students with their AI projects. Our alumni continue their journey at prestigious institutions including M. I. T and U.C. Berkeley.

AIClub's Research Program isn't just about fun learning. It's about showcasing young talent on big stages in ways that impress. 

The Importance of Original Research for College Admissions

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Nearly one-third of the admitted students engaged in academic research during their time in high school, many earning national and international accolades for research that is already pushing the boundaries of academic discovery.

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Every Project is Unique

We ensure that every student’s project is one of a kind. Each participant creates a unique project tailored to their specific interests and goals, fostering originality and personalized learning. No two projects are the same, allowing students to explore their passions and develop skills in a meaningful, individualized way.

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Gateway to Professional Publications

We offer expert guidance for competitions and publications tailored to your project and academic level. Our support extends beyond high school journal submissions, empowering students to aim for professional publications typically pursued by graduate students and professors.

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No Prerequisites Required

We offer a personalized program uniquely designed for each student, tailored to their current level of programming and AI knowledge.

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Flexible and Personalized Schedules

Begin the program whenever it suits you, with no set start date. We offer flexible session times, frequency, and duration, all customized to fit the student's unique schedule and learning pace.

Unlike typical matching services that merely pair you with a researcher and step back, our mentors and instructors are our employees who are highly skilled and trained by us. We take pride in providing a high quality experience to each of our student.

300+

Student Wins!

Project Spotlight

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Wildfire Prediction

This project tackles the challenge of early wildfire detection by creating an AI tool that can recognize smoke in wilderness photos. By analyzing images from trail cameras and citizens, the system aims to provide faster alerts and reduce the damage caused by wildfires.

Awards

1. Received Innovator award at Conrad Challenge in Energy and Environment category 2025

2. 4th Place in CSEF 2024, 2nd Place in 2022

3. Selected to present at MIT URTC 2023

4. Made Top 300 at Broadcom Masters 2023

5. 1st Place in Category at Synopsys 2022

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AI-driven Drug Discovery

This project aims to speed up cancer treatment discovery by using advanced AI tools to find new drugs that can block GLS-1, a key protein linked to cancer growth.

Awards

1. Paper published at SPIE Optics + Photonics 2025

2. First prize at the Synopsis Science Fair in the Biological Science and Engineering Category 2025

3. Won Honorable Mention Student Award at Synopsyis Science Fair 2025

Professional Publications

Revolutionizing flood mapping: a deep-learning approach for accurate image segmentation

Saanvi Bhosekar

SPIE Optics + Photonics 2025
April 2025

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Hybrid deep learning and transfer learning approaches in solar flare detection

Prisha Arora

SPIE Optics + Photonics 2025
April 2025

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Star and Constellation Recognition using YOLO framework

Emmett Chen, Pallavi Bajpai, Smriti H Bhandari

AIMLSystems '24: Proceedings of the 4th International Conference on AI-ML Systems
March 2025

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View more

Middle and High School Journals

Pestoscope: AI-Based Pest Detection

Gurman Goraya

Journal of Student Research
February 2025

 

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Forecasting air quality index: A statistical machine learning and deep learning approach

Manvik Pasula and Atul Dubey

Journal of Emerging Investigators
February 2025

 

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Monitoring drought using explainable statistical machine learning models

Clarisse Cheung and Sindhu Ghanta

Journal of Emerging Investigators
October 2024

 

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View more

AIClub students have applied their learnings to solve real-world problems, winning national and international recognition. Here are some of their recent competition wins. 

2025

AIHealth Conference

Paper Accepted

2025

Featured in Epic Gen TV

Invited to Speak

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2024

JSHS Symposium

First prize in poster competition

2024

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Congressional App Challenge

App won in district

2024

The Big Bang

The Big Bang

Finalist

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2024

Granted patent

Innovation

Award-winning innovations from AIClub students!

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Our high-quality curriculum is designed to empower you to craft your research projects from scratch. We believe in the value of learning by doing, and our approach ensures that you not only understand theories but also put them into action in a research project.

But we don't stop at learning. We're passionate about showcasing your research to the world. We support you in publishing your work at various competitions and esteemed venues. Your research deserves to be recognized, and we're here to help you shine.
 

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Explore AIClub Research Institute

  • Youtube

Check out our Youtube Channel with information that is useful for students looking to conduct research and differentiate themselves.🎓🚀 

How does the Research Program work?

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Begin at any time of the year, with the flexibility to choose a schedule and frequency that suits your needs. Most students opt for 1-2 hours of sessions per week. Enjoy free cancellation and rescheduling with just a 3-day notice. No upfront fees—simply pay as you go, making it both easy and convenient to participate.

Get started with a free consultation

Interested in learning more?

Book a time slot and discuss how your child can join the AIClub Research Program.

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Dr.Nisha Talagala

Nisha Talagala is the CEO and founder of AIClub. Nisha co-founded ParallelM which pioneered the MLOps practice of managing machine learning in production. Nisha is a recognized leader in the operational ML space with more than 20 years of expertise in software development, distributed systems, technical strategy and product leadership. Nisha earned her PhD at UC Berkeley where she did research on clusters and distributed systems. Nisha co-chairs the annual conference on production machine learning (OpML). Nisha holds 68 patents in distributed systems and software, is a frequent speaker at industry and academic events, and is a contributing writer to Forbes Online/Cognitive World and other publications.

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Dr.Amit Gupta

Amit Gupta is the Head of Products at AIClub. Amit has 20+ years of expertise in large-scale distributed systems design and development, and he was previously co-founder and CTO at Andale and Jasper. He holds a Ph.D. from the University of California at Berkeley, and has 50+ patents covering various aspects of Computer Networking, Distributed Systems, and Security.

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Dr.Sindhu Ghanta

Sindhu Ghanta received her M.S. degree from Texas Tech University in 2010 and her Ph.D. degree in electrical and computer engineering from Northeastern University, Boston, USA. She was a Post-Doctoral Fellow with BIDMC and the Department of Pathology, Harvard Medical School, where she was involved in detection and classification of features from histopathological images. She worked as a research scientist with Parallel Machines on monitoring the health of ML algorithms in production and has many publications on ML innovations. She currently works as the Head of Machine Learning at AIClub.

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Meet your mentors and advisors

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Dr.Smriti H. Bhandari

Smriti H. Bhandari is an accomplished researcher and educator with over 28 years of experience in Computer Vision, Machine Learning, and Database Systems. She holds a PhD in Computer Science and Engineering and has held leadership positions at prominent engineering colleges. Smriti has developed and delivered numerous courses and workshops in data science and deep learning, and served as the principal investigator on government-funded projects with applications in medicine and industry. She has received prestigious fellowships, including the Women Scientist and Young Scientist Fellowships, and has published extensively in her field. Smriti also brings industry experience as a freelance researcher and developer.

Dr.Vani Kandasamy

Dr.Vani Kandasamy

Vani Kandasamy has a PhD in Information and Communication Engineering from Anna University, Chennai. Her research is focused on applying machine learning techniques to analyze large-scale datasets, resulting in several publications in reputable journals and conferences. She has 10 years of teaching experience as an Assistant Professor at PSG College of Technology. During her tenure as an Assistant Professor, she developed and taught courses on topics such as Computer Vision, Natural Language Processing, Social Network Analysis and Data Privacy. Her ability to convey complex concepts in a clear and engaging manner, fostering a collaborative learning environment, has inspired students to excel in their studies.

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Swaminathan Sundararaman

Swaminathan (Swami) Sundararaman is the CTO and co-founder at Pyxeda.ai. Swami is a leader in operational machine learning, edge computing, distributed systems and storage systems. He has 10+ years of expertise in software development and machine learning. Swami holds a Ph.D. from the University of Wisconsin-Madison, and has 30+ patents in Distributed Systems, Operating Systems, Non-Volatile Memory, and storage systems. Swami co-founded the OpML and HotEdge conferences that foster upcoming innovations in operationalizing ML/DL models in production and edge computing, respectively. He serves on the steering committee and program committees of multiple technical conferences.

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Venkata Duvvuri

Venkata Duvvuri is currently a Director of Data Science at Oracle Corporation and an adjunct faculty member at Northeastern University, where he teaches data analytics and machine learning. He is a results-oriented leader in data science, business analytics, digital media analytics, and web marketing optimization, with over 10 years of experience in these fields, in addition to 10 years of software engineering experience. He has held leadership roles ranging from Director to Manager at Fortune 100 companies, including marketing agencies, and has successfully managed both onshore and offshore teams. As a cross-functional leader and subject matter expert in machine learning, he has driven multimillion-dollar improvements in business and online marketing outcomes at Oracle, eBay (Triad Retail Media), Conversant (Alliance Data), and AT&T (Cricket Wireless), and has worked with large-scale data at Apple Corporation.

Venkata holds a Ph.D. in Leadership and Innovation from Purdue University, a Master’s in Computer Science from the University of Massachusetts – Amherst, and an MBA from the University of California – Davis.

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Bharath Ramsundar 

Bharath Ramsundar, PhD is the founder and CEO of Deep Forest Sciences, a start-up working to accelerate the use of AI in deep tech. Dr. Ramsundar is also the lead maintainer of the DeepChem project, an open source consortium working to build software for open source medicine discovery. Bharath previously co-founded Computable, a venture-backed start-up building better tools for collaborative dataset management. Dr. Ramsundar has a Computer Science Ph.D. from Stanford University. His research and professional interests include the application of deep learning in drug discovery. Bharath is the lead author of “TensorFlow for Deep Learning :From Linear Regression to Reinforcement Learning”, a developer’s introduction to modern machine learning, with O’Reilly Media, and the lead author of “Deep Learning for the Life Sciences”.

Hear what Research Program students have to say!

This program provided me with an incredible opportunity to apply computational techniques to real-world biomedical challenges. I gained hands-on experience in building shallow and deep regression models, utilizing PubChem and ChemBERTa for molecular analysis, and refining my research and technical writing skills. Beyond the technical aspects, I also learned how to navigate scientific literature, write an effective abstract, and structure a research paper, all of which will be invaluable for my future academic and research endeavors.

11th Grader, Santa Clara

AIClub 1:1 FAQ

Program Logistics and Contact

Prospective 1:1 students and current students, please contact info@aiclub.world

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