ShubhraDeshpande

alexa_base_skill

Base code for developing an Alexa skill.

alfcapp

App for Aurangabad Football Network

Autotranscription

Designed the Wireframes (Lo-fi) sketches on Autodesk Sketchbook. Created the Wireframes (Hi-fi) on Adobe XD. The prototyping is also done in Adobe XD.

aws_rekognition_flutter

The python script runs over aws lambda, being powered by serverless. AWS image Rekognition microservice supports face comparision and the json file is read in flutter app as deployment

distance_metric_flutter

faceClustering

libraryForStereoVision

Recreated the OpenCV library function for stereo vision, Homography matrix and segmentation from scratch using python

TaskMe

A cross platform mobile application, a sub-board, that lets you post the daily small chores that don't need professional skills and anyone can pick them up for you.

TomJerryGame

Tom and Jerry game is based on reinforcement learning. Tom is supposed to learn the best and efficient most path to reach Jerry in the 5 x 5 mesh by learning every possible path. Developed a game in python where Tom cognitively learns the best strategy to reach Jerry using Deep Q-network (DQN) of R.L. The agent uses Q-table to understand the rewards or punishments.

Super-Resolution-GAN

Implementation of Super Resolution GAN for CSE674

ShubhraDeshpande/libraryForStereoVision

Recreated the OpenCV library function for stereo vision, Homography matrix and segmentation from scratch using python

ShubhraDeshpande/TaskMe

A cross platform mobile application, a sub-board, that lets you post the daily small chores that don't need professional skills and anyone can pick them up for you.

ShubhraDeshpande/TomJerryGame

Tom and Jerry game is based on reinforcement learning. Tom is supposed to learn the best and efficient most path to reach Jerry in the 5 x 5 mesh by learning every possible path. Developed a game in python where Tom cognitively learns the best strategy to reach Jerry using Deep Q-network (DQN) of R.L. The agent uses Q-table to understand the rewards or punishments.

ShubhraDeshpande/alexa_base_skill

Base code for developing an Alexa skill.

ShubhraDeshpande/alfcapp

App for Aurangabad Football Network

ShubhraDeshpande/Autotranscription

Designed the Wireframes (Lo-fi) sketches on Autodesk Sketchbook. Created the Wireframes (Hi-fi) on Adobe XD. The prototyping is also done in Adobe XD.

ShubhraDeshpande/aws_rekognition_flutter

The python script runs over aws lambda, being powered by serverless. AWS image Rekognition microservice supports face comparision and the json file is read in flutter app as deployment

ShubhraDeshpande/distance_metric_flutter

ShubhraDeshpande/faceClustering

ShubhraDeshpande/aws-cloudformation-resource-providers-ecr

The CloudFormation Resource Provider Package For Amazon ECR

ShubhraDeshpande/documentation

The source for Datadog's documentation site.

ShubhraDeshpande/draggable_widget_demo_video

Flutter app demo

ShubhraDeshpande/edge_detection

We see that image is a two dimensional array of pixels. The task of edge detection is performed using sobel operator. Operating sobel operator on image and collecting the edges in ‘x’ and ‘y’ direction, program calculates the norm i.e. root mean square distance of every pixel of both matrices and define the resulting pixel as edge defining agent. Very crude method of logical hard coding is used to complete this task hence no external library has been used. The task can be seen as collection of three main functions -Defining kernels or sobel filters for X and Y direction -Defining convolution function -Calculating norm Defining Kernels: Functions kernel-x(), kernel_y() define sobel operators as shown in figure 1.a the sobel operator Kernel Gx filters out all the Y leading points and hence giving horizontal subpart of the image Kernel Gy filters out all X leading points and gives vertical defining edges

ShubhraDeshpande/Edge_detector

ShubhraDeshpande/flutter_python_poc

This app is a small demo about wiring up python files with dart specifically flutter app and flash the output

ShubhraDeshpande/HandwrittenDigitRecognizer

Continued the project of UB of detecting and recognizing the handwritten digits in the address space over the letterhead in USPS data. - The convoluted neural network (CNN) was implemented with tensorflow in python. - The accuracy of the model was increased to 49%

ShubhraDeshpande/hexagonal-grid

ShubhraDeshpande/houghTransformUsingPython

We have a predefined library for implementing Hough transform in OpnCV. But this project delivers the developed library function for edge and circle detection using Hough transform algorithm in python.

ShubhraDeshpande/kmean_clustering_baboon

K mean is implemented using dictionaries. The project contains two code files. The first code, k_points.py, is for the simple k mean clustering applied on few random points. The second code file named k_baboon.py contains k mean clustering code for clustering the famous baboon image into 3,4 and 5 clusters respectively.

ShubhraDeshpande/move_child_to_room_alexa-skill

move child/ children from one room to other room

ShubhraDeshpande/personalized_video_suggestion

Personalized Video Summarization. Where given an android app, the user can watch selected youtube videos and then group them into different clusters (just like bookmarking). These user preferences are learnt by the clustering algorithm to adjust the boundaries of clusters so that better video suggestions could be given to the user.

ShubhraDeshpande/reinvent2021-private

ShubhraDeshpande/shubhra.github.io

ShubhraDeshpande/SurveyGuide

App created in flutter that lets you take small surveys

ShubhraDeshpande/UniqueAuthorRecognition

The author of the handwritten sample was predicted by handwriting analysis using CNN with Keras. The project is also implemented with logistic regression and linear regression using nonlinear gaussian basis functions.

ShubhraDeshpande/Validity_challenge

web page displaying the duplicates in the csv records

ShubhraDeshpande/youtube_8m_video-id

get youtube video links from youtube 8M tfrecord files