KRUU Projects

Top professors, academic experts and industry partners have come together to create Kruu projects. Each project module is thoughtfully designed to guide middle and high school students through a logical sequence of problem solving. Students gain access to curated content, worksheets, and study materials, and they are paired with research assistants for guidance. Here are all the Kruu projects.

Guardian Bots: Building Assistive Robots for an Inclusive World

Grades

9 – 12

Starts on

April 2025

Discipline

STEM

Duration

21 Days

About Project

Millions of people with disabilities, visual impairments, or mobility challenges face daily obstacles in performing everyday tasks. Assistive technologies can enhance independence, safety, and accessibility, but innovative, low-cost solutions are needed. In this project, students will design a prototype of an assistive robot using recyclable materials, focusing on improving mobility, task assistance, or accessibility. They will apply human-centered design principles to create a functional, empathy-driven solution that addresses real-world needs. Through this hands-on challenge, students will develop creativity, problem-solving, teamwork, and STEM skills while exploring the role of robotics in building a more inclusive world.

Expert Profile

Anuradha Kar, PhD, is a distinguished researcher at Institut Pasteur in Paris, France, specializing in deep learning and computer vision for drug discovery. With a focus on Alzheimer’s Disease, she develops explainable AI frameworks to segment and analyze tau protein biomarkers in histopathological images, advancing the precision of neurodegenerative disease diagnostics. Her innovative work integrates collaborative human feedback with deep learning models, ensuring empathy-driven solutions that address real-world medical challenges. Anuradha’s research has been widely published, with 26 publications garnering over 11,753 reads and 428 citations. Her notable projects include developing interpretable deep learning models for neuritic plaque segmentation and leveraging meta-graph approaches to analyze Alzheimer’s biomarkers in brain tissue. Skilled in Python, MATLAB, and data analysis, she combines technical expertise with a passion for creating inclusive, impactful technologies. Through her work, Anuradha is shaping the future of computational histopathology, contributing to a more inclusive world where AI empowers medical breakthroughs. She continues to explore the intersection of technology and healthcare, driving innovation that bridges science and humanity.

Check Out Internship Opportunities from Kruu Excelerate Program

Through SLU EXP, Kruu students can engage in a variety of enriching experiences at no cost. The platform provides virtual internships, dynamic courses on power skills, engaging events, and competitive contests, all aimed at nurturing personal and professional growth.