Bappy Portfolio

Hi, This is Buppy Ahmed

My aiming for simplicity in Data Science. Real Creativity won't make things more complex. Instead, I will simplify them, Interested in a Data Science Career and so developing myself accordingly.
Data Scientist and lecturer with working experience in Machine Learning, Deep Learning, Microcontrollers and Electronics systems. Hands-on experience on classification, regression, clustering, computer vision, natural language processing and transfer learning models to solve challenging business problems. I've a huge interest in Robotics. I have innovated a lot of innovations, ideas, projects & robots and got a lot of achievements.

Self Driving Car

A self-driving car is a car incorporating vehicular automation, that is, a ground vehicle that is capable of sensing its environment and moving safely with little or no human input.

Git Hub Link
ImageSeeker

ImageSeeker is a deep learning image classification library written in Python, running on top of the machine learning platform TensorFlow.Keras. It was developed with a focus on enabling fast experimentation of images classification. You can classify any image with any classification model in Keras appliaction without writing any lines of code.

Git Hub Link
Fasion Recommendation System for Ecommerce

A Deep learning-based streamlet web app that can recommend you various types of fashion products with respect to your choices. The recommender system deals with a large volume of information present by filtering the most important information based on the data provided by a user and other factors that take care of the user’s preference and interest.

Git Hub Link
Face Matching app

A Deep learning-based streamlet web app that can tell which Bollywood celebrity your face resembles. In this project, you will discover the problem of face recognition and how deep learning methods can achieve superhuman performance to identify similar faces.

Git Hub Link
Face Recognition and Identification system

The project is called Attendance System using facial recognition. The goal of the project is to identify the person and mark their attendance. First, the user has to register himself/herself in the application providing the required details. The application takes multiple snaps of the user and then stores it into the database.

Git Hub Link
SPEAKER DIARIZATION WITH LSTM

Speaker diarization is the process of partitioning an input audio stream into homogeneous segments according to the speaker identity. It answers the question “who spoke when” in a multi-speaker environment. It has a wide variety of applications including multimedia information retrieval, speaker turn analysis, and audio processing. In particular,

Git Hub Link