Smart Educator
Developed to proactively identify struggling students. This web app predicts exam results using ML, allowing early intervention to improve performance, and support even the most inefficient students.
I am Shaukat Ali Khan, a passionate Applied AI Engineer. After completing my intermediate
education, I embarked on a journey of self-education exploring multiple fields
including web development, blogging, and affiliate marketing. However, it was the
field of data science that truly captivated me, leading me to learn Python, ML, and
Deep Learning, its relevant knowledge, and then to hands-on practice on the listed
projects. I am dedicated to pursuing entrepreneurship in the field. Seeking
opportunities to add value and make a difference through data-driven decisions.
Developed to proactively identify struggling students. This web app predicts exam results using ML, allowing early intervention to improve performance, and support even the most inefficient students.
Designed to classify messages. This app can be integrated with WhatsApp or SMS services, protecting users, especially in countries like Pakistan, from digital scams and unwanted spam, enhancing their security.
Built for secure access, this face login system verifies users in real-time based on a pre-existing database, allowing or blocking access. It gets integrated with other systems to enhance security.
Developed to estimate fair resale prices, this app helps buyers and sellers by predicting a car's value based on input parameters, ensuring informed and fair transactions in the used car market.
Designed to identify similar questions, this deep learning-based tool detects duplicates, streamlining content management and improving user experience, especially in platforms like Quora.
These are the courses I completed on my journey to becoming a Machine Learning Engineer.
This was my first course in Artificial Intelligence, taught by the esteemed Sir Irfan Malik (CEO of Xeven Solutions) and his team. It provided me with a foundational understanding of AI concepts.
Although I was already familiar with Python, this course introduced me to advanced concepts like map and lambda functions, as well as essential libraries such as NumPy, Pandas, and Matplotlib.
As I progressed, I realized the importance of statistics. Having previously studied many of the core concepts during my B.Com, I found this course to be a smooth continuation of my learning.
Diving deeper into the field, I explored supervised and semi-supervised learning algorithms in this course by Krish Naik (a Data Scientist at INeuron and an excellent educator).
After gaining a solid understanding of ML algorithms and some practical experience, I decided to delve into Deep Learning with a course by Sir Nitish at CampusX (YouTube). Compared to ML, DL presented greater challenges in design and computational requirements, which I was still working to overcome at that time.
I continued my learning journey with an NLP course by Sir Nitish at CampusX (YouTube). As a beginner and aspiring practitioner, I was eager to grasp the mechanics behind NLP and found this course even more engaging than Deep Learning.
Not yet completed.
Some books that significantly shaped my personal and professional life.
James Clear
Cal Newport
Robert C. Martin
Napoleon Hill
Leil Lowndes
Founder - CEO @Xeven Solutions
Ex. Data Scientist @INeuron - Tutor
President/CEO @Youth Club
Surgeon - Mentor in Building a Positive Society
Data Scientist - Founder @CampusX
Life Coach & Country Head @Youth Club.
Media department Lead @Youth Club