What we do and why? 

From making charity more efficient to diverting excess food to the hungry, AI has a massive potential to bring positive change to society by making it easier for community members to contribute. To help leverage the power of AI for the betterment of our community, we at Community AI build projects for the betterment of our community and environment and spread AI to others through AI events from courses to fairs. 

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Shraman Kar

Founder and CEO

 Shraman is passionate about building technology projects using artificial intelligence and state of art large language models to solve problems of the community and the environment.  Shraman's passion project, Foodle, built on technology and artificial intelligence could make a difference in solving hunger and food waste at the same time. He wanted to share his knowledge and ideas with as many youths as possible so that together they can build technology products for the communities. 

He started building projects using machine learning and IoT in 6th grade and has been awarded many state and national level prizes and thousands of dollars of scholarships. His projects dedicated to the community were applauded by charities and community leaders.  Shraman is a senior (12th Grade) at duPont Manual High School in Louisville, Kentucky, USA. 

Jeffrey Willert, Ph.D

Chief Advisor and Mentor

Dr. Willert earned a B.A. in Mathematics from The College of Wooster and a Masters and Ph.D. in Applied Mathematics from North Carolina State University.  Dr. Willert specialized in Numerical Analysis, Numerical Solutions to Nonlinear Equations and Optimization during his graduate studies.  His Ph.D. thesis, Hybrid Deterministic/Monte Carlo Methods for Solving the Neutron Transport Equation and k-Eigenvalue Problem, was jointly advised by members of the Applied Mathematics and Nuclear Engineering departments and a researcher at Los Alamos National Laboratory (LANL).  Dr. Willert continued a similar line of research as a Postdoctoral Research Associate at LANL.

After two years at LANL, Dr. Willert took a job with the Institute for Defense Analyses (IDA) in Northern Virginia.  As a Research Staff Member at IDA, Dr. Willert worked on the Chemical, Biological, Radiological and Nuclear (CBRN) Defense team, providing leadership in modeling and simulation and data analytics. He later changed trajectories and joined Altamira Technologies as a Senior Data Scientist, before being promoted to Lead Data Scientist.  While at Altamira he led a team of data scientists working with the United States Air Force Chief Data Office.  His team specialized in providing data science and Machine Learning support for a variety of technical Use Cases.  In 2019, Dr. Willert and his family moved to Louisville, Kentucky, USA to lead a team of data scientists at Schneider Electric within the Energy and Sustainability Services division.

Shreyas Kar


Shreyas is interested in helping those in need using Artificial Intelligence and Machine Learning. He developed several projects for the benefit of the community and the environment, from an application to find and reunite missing children to a system to conserve clean water.  Earlier, he worked for the PORTAL group at Harvard Medical School as a member of the Research Science Institute (RSI). His research there focussed on quantifying the impact of EHR-Discontinuity on prediction modeling algorithms. He founded Community AI along with Shraman to empower middle and high school students to create AI-driven projects to benefit the community and the environment. Shreyas is an undergraduate Computer Science (AI Track) student at Stanford University and also a researcher at Partnership in AI-Assisted Care (PAC) group as part of Stanford Vision and Learning Lab (SVL) headed by Dr. Fei Fei Li.

Rick Biswas

Rick is a undergraduate student at Perdue University He has shown continued dedication and passion towards robotics and engineering. He has ranked in many competitions and has done various projects in the field of robotics. Some of his achievements include: 2nd place in KY State Fair, Tournament champions of MO State VEX Competition, and qualifying for VEX Worlds 2020. He wishes to continue making projects that will help his community.

Pooja Kannappan

Pooja is an undergraduate student at University of Michigan Ann Arbor. She is passionate about the intersection of science and technology and loves to create projects that help solve meaningful problems. She fell in love with coding at a young age and has since learned HTML & CSS, Python, R, and Java. Pooja hopes to pursue a career in STEM and eventually found a start-up company using technology to create early disease diagnostic tools.

Veer Sandhu

Veer is currently a junior (11th grade) in the IB Program located at Turner Fenton Secondary School in Ontario, Canada. He is a highly motivated student and has a strong passion for Artificial Intelligence, Data Analytics, and Mathematics. Veer started his journey in Machine Learning by completing courses from Stanford and the University of Toronto. He has built projects based on image recognition, recommender systems, and data classification that have won national competitions and been recognized by community professionals. He is excited to be a part of Community AI and ready to share his knowledge with link-minded individuals. 

Michael Kougang

Michael is an undergraduate student at University of Minnesota-Twin Cities. He started his coding journey in middle school with Java, and has since learned many other languages, including Python. He is very enthusiastic about machine learning, data science, and artificial intelligence through creating projects. Not only that, but he has received several Microsoft certifications, including Azure Data Scientist Associate and Azure AI Fundamentals. He is also dedicated and eager to help others in the field of computer science.

Jaival Patel

Jaival is a junior (11th grade) at Turner Fenton Secondary School high school in Toronto, Canada who is highly passionate about creating things that are both out of this world, and impactful to everyone in their daily lives. Day by day, he creates simulations, machine learning models, and algorithms based on different problems from different subjects ranging from health care, the web, and etc.