Turn your ideas into a
Success. Reality. Startup. Career. Future. Profitable Product.

DRIPBL® or Dream Research Innovate Problem/Project Based Learning motivates school students to follow their passion, discover their curiosity and also get involved in community based problems and design solutions for the same.

STEAM with a purpose

MEANING OF DRIPBL®

  1. Dream: Encouraging students to think big and creatively about passion projects and problems.
  2. Research: Providing opportunities for students to conduct research, conduct experiments, and gather data about their passion projects.
  3. Innovate: Encouraging students to develop novel innovative solutions to their passion project.
  4. Problem/Project-Based Learning: Focusing on their passion project as a context for learning and providing students with opportunities to engage in hands-on, experiential learning.
DRIPBL

Overall, this approach to learning prioritize creativity, critical thinking, and real-world problem-solving skills, and Individuality which can be valuable for students in preparing them for future success.

DRIPBL

mission

Our mission is to empower K–16 students to turn curiosity into action by building readiness for college and careers through hands-on research, innovation, invention, and our DRIPBL methodology.

vision

Our vision is for our informed, responsible and socially intelligent innovative students to discover their passions and use it to create meaningful change as our future workforce leaders.

Featured In

DRIPBL Students’ Achievements:

About Our Founder & Leader: Rachna Nath

Rachna Nath is a TIME Magazine recognized STEM educator, innovator, and founder of the DRIPBL® (Dream Research Innovate Problem/Project Based Learning) method for creative thinking and problem solving issues for which she was recognized with a Presidential Award. With over 20 years of experience, she has helped students earn patents, launch startups, and win millions in scholarships through real-world problem-solving and innovation.

She is a National Geographic Content developer, Georgia Tech VIP Research Affiliate, a NASA Solar System Ambassador, and a mentor at MIT’s Lemelson-MIT program, where she guides students in scientific research and innovation. As the Co-Chair of the Educator Affinity Group for the United Nations Association (UNA-USA), she also champions sustainability and equity in education, offering internships and Observerships to high School students

Nath’s work has earned her recognition from TIME, AZBio, Authority Magazine, Turnitin, Governor of Arizona, Bioscience community and many other platforms, making her a powerful advocate for the next generation of changemakers.

Student/Parent Testimonials

Impact:

9 Students with Patents.

3 international best selling books.

DRIPBL

18 Patents Pending.

5 TEDx talks.

DRIPBL

$178,540 in grant money.

68+ collaborations.

60% Female.

3 Startups.

45% Under represented & low income students.

$16.8M in scholarships.

110k+ Volunteer Hours.

5% students with disabilities.

DRIPBL students are making their mark at these prestigious institutions.

DRIPBL
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Data Science and Data Analytics for Research Project

Dr. Calvin Williamson

Professor, Science and Math, State University of New York & Fashion Institute of Technology

Prof. Rajasekhar Vangapaty

Academic Advisor, Fashion Institute of Technology
State University of New York
Founding Member and President of Empowerment Skills International

Schedule: 2 days per week (Tuesday & Thursday)

 

What you’ll learn

Regression

  • Regression
  • Simple Regression
  • Multiple Regression
  • Applications
  • Conjoint Analysis

Introduction to Python

  • Google Colab Notebook
  • Variables, DataTypes
  • Lists, Strings
  • Functions

Machine Learning

  • Classification, Accuracy
  • Training, Testing
  • Decision Trees
  • Pandas, Dataframes

Understanding AI and it’s proper use

Dr. Calvin Williamson

Professor, Science and Math, State University of New York & Fashion Institute of Technology

Prof. Rajasekhar Vangapaty

Academic Advisor, Fashion Institute of Technology
State University of New York
Founding Member and President of Empowerment Skills International

Schedule: 2 days per week (Monday & Wednesday)

 

What you’ll learn

Introduction to Python for Artificial Intelligence

  • Google Colab Notebook
  • Using LLM as Coding Assistant
  • Calculations
  • Variables
  • DataTypes
  • Lists
  • Dictionaries
  • Functions
  • Dataframes
  • f-Strings

Introduction to Large Language Models (LLMs)

  • LLM Examples (GPT, Claude, Gemini)
  • Completions, APIs
  • Prompting
  • Prompt Chaining
  • Roles and Personas
  • Chain of thought
  • Few-shot and zero-shot Learning