Meenakshi Nair
Instructor At Udemy
My name is Meenakshi Nair, a high school senior from the San Francisco Bay Area, the world’s hub of technological development.
I was interested in technology from a very young age. I learned Python and java in middle school and started building mobile applications using Thunkable and Swift since 7th grade.
The COVID-19 pandemic changed my thought process and perception of technology. I became more interested in real-world applications and the impacts of technology on people during the lock down.This new perspective led me to build a CO2 tracking and monitoring tool using Arduino and Python along with a group of two friends.
The app aimed to help businesses safely reopen and recover from COVID impacts. The app was built for IOS using Apple’s native IOS development environment, the Swift language, Google Cloud for Data Storage, HighCharts for trend analysis, and Text Recognition AIs provided by Apple’s CoreML.
My team was invited to pitch our app at Technovation’s annual World Summit event as a finalist team selected from over 2,700 teams from 62 countries and won the Technovation Girls Junior Division Grand Prize. I have been a Technovation ambassador for last four years, where my role is to make sure that girls in my community are aware of the program and support them through the Technovation journey.
I am also passionate about conducting research and working on projects involving engineering, computer science and AI. I have published research papers on AI/ ML applications to solve real world challenges. My research has won special awards at International Science and Engineering Fair (ISEF 2024). In my free time, I enjoy photography, dance, and taekwondo.
Reviews
absolutly amazing
It is a very structured and compact course. It provides a clear, quick overview of the key steps involved in image classification using Keras. However, having prior knowledge of the topic is essential to follow along effectively. This course was incredibly helpful for me in understanding how the coding process flows. Great work! Thank You so much :-)
good
awesome, a perfect match, went above and beyond my expectations, and i learned a huge amount
An useful resource for those new to picture categorisation is this course. The material in is easy to understand, succinct, and instructive, making learning fun. Even people with little to no background in Python or picture classification may follow along and understand the topics thanks to the instructor's step-by-step method.
Fathi Lovrenco
06-08-2024
For every prospective data scientist, the course also offers a strong foundation in Python. I now have a solid knowledge of picture categorisation methods and am optimistic about my capacity to take on more difficult subjects in the future. Strongly advised!
Lavith dashvin
06-08-2024
The instructor’s enthusiasm and clarity make the learning experience enjoyable and effective. Additionally, the supportive community and responsive Q&A section are great for getting help and staying motivated.
Genesis Douglas
06-08-2024
Clear, concise, and engaging introduction to image classification for beginners.
This is an excellent course for beginners. The instructor has broken down complex concepts into manageable lessons, making it easy to grasp the fundamentals. The hands-on projects are particularly helpful for applying what you learn. Highly recommend for anyone starting their journey in image classification.
The course covers fundamental topics such as data preprocessing, model training, and evaluation, all through practical, real-world examples.
Ashley Chapman
31-07-2024
An excellent starting point for anyone new to image classification! Clear explanations, hands-on projects, and a solid foundation for deeper learning.
An excellent starting point for diving into image classification with Python! Clear explanations and hands-on exercises.
Perfect starting point for image classification with Python! Clear, concise, and engaging.
Great This introduction to image classification with Python is excellent! It breaks down complex concepts into easy-to-understand lessons.
Excellent overview on picture classification! Well-explained, practical projects that are ideal for Python novices wishing to explore computer vision.
