Akash Modak
Computer Enthusiast
LATEST PROJECTS
Project | 01
Project | 01 Music Genre Classification of Rabindra Sangeet based on Lyrics and Audio data
Machine Learning Model which will detect the Genre or Porjay of Rabindranath
Tagore’s Song written in Bengali. I used Naive Bayes Classifier, Support Vector
Machine, Perceptron, RNN, and Multi-Layer Perceptron Classifier to detect the
Genre. The highest accuracy rate that I got in lyrics classification is 73% and in
audio classification is 93%.
Project | 02
Project | 02 Scribblers Hub
Scribblers Hub is an Android application developed by Green Grass Studio where poets, writers, and painters can portray their works in a single platform. It also provides quality stories and novels of different well-known authors. You may like, comment and share your work on different social media platforms as well.
Project | 03
Project | 03 Kolkata Transport
Kolkata Transport is an offline Android Application where you'll get the timetable of local trains and metros in Kolkata. The app will also help you to find out the buses available between two locations given by the user.
Project | 04
Project | 04 User Admin Data Entry Dashboard
Designed a complete website where Admin can track all data that is entered by a user. Here user can enter, and edit data, and Admin will approve, edit or delete that particular data that is entered by the user. After the approval of the Admin, the entered data will be permanently stored in the Database. I used HTML, CSS, Bootstrap, AJAX, JavaScript MySQL, and PHP to design this website.
Project | 05
Project | 05 Handwritten Image Recognition System
Built a machine learning model using Tensorflow (CNN) which will recognize Handwritten digits from MNIST dataset and deploy the model on Google Cloud
Platform.