Currently, I am studying Software Engineering at NEDUET where I am a student of first year giving final exams :)
Muhammad Awwab Khan is a creative thinker and adept software developer with expertise in Software Development, Artificial Intelligence, and Data Analytics tasks. Proficient in Python programming, Data Analysis, and Predictive Modeling. Currently, I am delving into the realm of Generative AI, focusing on Large Language Models (LLMs), OpenAI, Llama Index, LangChain, and vector databases. The journey includes mastering the intricacies of Natural Language Processing (NLP) and exploring the latest advancements in generative AI
When I'm not in front of a computer screen, you'll likely find me indulge in reading novels, doing archery, or delving into spontaneous DIY projects—all of which I enjoy sharing on my LinkedIn profile.

An application designed to facilitate teachers in managing multiple classes and quizzes, capturing and analyzing student responses via Optical Mark Recognition (OMR), and maintaining a digital whiteboard for class sessions.

A simple application which predicts laptop price based on its features and recommends similar laptops to it.
A content-based book recommender employing user profiles and NLP techniques.
Using OpenCV and imutils, I have written a Python program which enables me to play any racing game with four controls using only hand movements.
In this project, I have used ResNET50 model to classify CIFAR-10 dataset, which is further integrated into API using FastAPI.
This project uses MobileNet_v3 model to classify dogs and cats, integrated into an API for ease of access.
A neural network which classifies handwritten digits integrated into a FastAPI.
Classifying breast cancer using neural networks, integrated into an API using FastAPI.
The most comprehensive movies analysis which will be converted to a web app in the future.
Implementation of one of the most popular machine learning algorithms 'Decision Tree' in Python using NumPy.
A fully functional Streamlit app to analyze any WhatsApp chat written in Python.
This is a simple dense layer based neural network implementation in Python. Can be used to create as many layers and neurons. Modular based approach.
A desktop app written in Python to mark student attendance in real-time database.
A simple terminal based interactive tic tac toe game written in Python.
An end-to-end reliable spam classifier for both emails and SMS.
Implementation of well known machine learning algorithm namely Linear Regression from scratch written in Python.
An object-oriented design of components of coordinate geometry written in Python.
In this project, I have built regression models for a DVD rental firm to predict rental duration and evaluated them to recommend the best one.
In this project I will be building a model that can provide a price estimate based on a home's characteristics.
Data analysis project focused on analysing causes of discovery of handwashing by Dr Semmelweis and its consequences.
This notebook is focused on uncovering patterns in the past Nobel laureates and learning about the Nobel prize and our world more generally.
An incredible transformation of bank from procedural to functional to object-oriented design.
This project replicates some of the app store analytics provided by companies like App Annie or Sensor Tower.
This data analysis project focuses on analyzing google search trends data with the actual time series.
In this project, I have applied machine learning to build a multi-class classification model to predict the type of 'crop', while using techniques to avoid multicollinearity.
An in-depth data analysis of LEGO firm, their blocks, colors, themes and a whole lot more.
A data analysis project focused on analyzing the popularity of programming languages since the creation of Stack Overflow.
A Data Exploration Project in Pandas focused on Analysing the Post-University Salaries of Graduates by Major.
A fully-fledged blog web app with posts, users, comments, including all the CRUD operations built using Flask micro web framework.
This data analysis project analyzes home runs of two giant baseball players namely Aaron Judge and Giancarlo Stanton.