• Short term wind power prediction using LSTM,(2019)

Tools: Python, Spyder,Keras, DEAP lib

The objective of this project is to develop a deep neural networks model that deals with time series for regression problem of wind power prediction.

• Cloth Classification Using CNN and ResNet,(2018)

Tools: Python, Spyder, OpenCV

The objective of this project is to develop a deep neural networks model for classification of multiclass cloth patterns.

• Aesthetic Score Prediction, (2018)

Tools: Gpu, Ubuntu, OpenCV, python

The Objective of project was to measure images aesthetics. Aesthetics is a relative term, and vary from user to user. A Machine learning method is proposed which assign aesthetics score to different categories of images and test by new image to predict the aesthetics score value.

• Image Retrieval System based on similar patterns, (2017)

Tools: Visual Studio, C++, OpenCv

This project uses of machine learning techniques SVM, KNN to develop the image retrieval system of different cloths.

• Sentiment Analysis (Twitter), Semester Project, MS-IT(2013-2015)

Tools: Spyder, Twitter Streaming API, TextBlob, NLTK, Plotly

The objective of this project was to classify a tweet to positive, negative or neutral class. A machine learning method is proposed which download real-time tweet, did

tweets classification and show the result on an interactive plot.

• Online Management System of Eminent School, MSc-IT, Final Project (2007-2009)

Tools: NetBeans, Java, Ms Access,

The system will store the record of student and generate the fee receipt of every month. Each student has access about their previous record.

• Automation of Book Store, BSc Final Project (2005-2007)

Tools: Java, Microsoft Access, NetBeans

Develop a desktop Application which system will store the record of book and their borrowing dates if the customer was late to revert the borrowed item then there will be fine calculation formula for that. Each book has detail about their author and type