Kaushik Jadhav (kaushikjadhav01)

kaushikjadhav01

User data from Github https://github.com/kaushikjadhav01

Company:@microsoft, @ncstate-university, @browserstack

Location:Raleigh, North Carolina, USA

Home Page:kajadhav.me

GitHub:@kaushikjadhav01

Kaushik Jadhav's repositories

Stock-Market-Prediction-Web-App-using-Machine-Learning-And-Sentiment-Analysis

Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask and Wordpress. The App forecasts stock prices of the next seven days for any given stock under NASDAQ or NSE as input by the user. Predictions are made using three algorithms: ARIMA, LSTM, Linear Regression. The Web App combines the predicted prices of the next seven days with the sentiment analysis of tweets to give recommendation whether the price is going to rise or fall

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Online-Food-Ordering-Web-App

Online Food Ordering System Website using basic PHP, SQL, HTML & CSS. You can use any one of XAMPP, WAMP or LAMP server to run the Web App

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COVID-19-Detection-Flask-App-based-on-Chest-X-rays-and-CT-Scans

COVID-19 Detection Chest X-rays and CT scans: COVID-19 Detection based on Chest X-rays and CT Scans using four Transfer Learning algorithms: VGG16, ResNet50, InceptionV3, Xception. The models were trained for 500 epochs on around 1000 Chest X-rays and around 750 CT Scan images on Google Colab GPU. A Flask App was later developed wherein user can upload Chest X-rays or CT Scans and get the output of possibility of COVID infection.

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Deep-Surveillance-Monitor-Facial-Emotion-Age-Gender-Recognition-System

Computer Vision module for detecting emotion, age and gender of a person in any given image, video or real time webcam. A custom VGG16 model was developed and trained on open source facial datasets downloaded from Kaggle and IMDB. OpenCV,dlib & keras were used to aid facial detection and video processing. The final system can detect the emotion, age and gender of people in any given image, video or real time webcam

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Real-Time-Object-Detection-API-using-TensorFlow

A Transfer Learning based Object Detection API that detects all objects in an image, video or live webcam. An SSD model and a Faster R-CNN model was pretrained on Mobile net coco dataset along with a label map in Tensorflow. This model were used to detect objects captured in an image, video or real time webcam. Open CV was used for streaming objects and preprocessing.

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Cancer-Donation-Portal-Python-Flask-App

Flask App for Cancer Donation Portal using basic Python, SQLite3, HTML, CSS and Javascript

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Movie-Recommendation-Chatbot

Movie Recommendation Chatbot provides information about a movie like plot, genre, revenue, budget, imdb rating, imdb links, etc. The model was trained with Kaggle’s movies metadata dataset. To give a recommendation of similar movies, Cosine Similarity and TFID vectorizer were used. Slack API was used to provide a Front End for the chatbot. IBM Watson was used to link the Python code for Natural Language Processing with the front end hosted on Slack API. Libraries like nltk, sklearn, pandas and nlp were used to perform Natural Language Processing and cater to user queries and responses.

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Live-Video-Sketching-through-webcam-using-OpenCv-Python

Computer Vision model creates a live video sketch of frames through real time web cam video. Source code is written in python and model is based on OpenCV. Keras and Numpy have been used to optimize the performance of the model and posterize frames

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Object-Detecion-via-Smartphone-Camera-using-Faster-R-CNN

Detecting objects captured in the frame of a Smartphone Camera using Faster R-CNN algorithm. TensorFlow Object Detection API has been used for back end & OpenCV has been used to process the frames of video captured from Smartphone Camera. IPWebcam app is used to link Smarthphone to Object Detection Code

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Medicine-Data-Portal__Data-Reporting-Tool

This repository contains source code of a prototype version of an official project I have worked on. It is a Data Reporting Portal for a large sized pharma company which has multiple partner pharma companies. The prototype is hosted live on my personal free tier aws educate instance.

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BookMart

Online Book shopping system class project using Ruby on Rails. Public copy of my NCSU class repo at: https://github.ncsu.edu/CSC-517-Spr23-Team-ashon-kajadhav/BookMart.git

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DeepSpeech

A TensorFlow implementation of Baidu's DeepSpeech architecture

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fullstack-course4

Example code for HTML, CSS, and Javascript for Web Developers Coursera Course

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Chatbot-AI

This repository has been moved to: https://github.com/kaushikjadhav01/Movie-Recommendation-Chatbot

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ChatGPT-Clone-MERN

ChatGPT clone using MongoDB, Express.JS, React.JS, Node.JS

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playwright

Node library to automate Chromium, Firefox and WebKit with a single API

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readme-jokes

😄 Jokes for your GitHub READMEs

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Sentiment-Analysis-of-Amazon-Reviews

Sentiment Analysis of Amazon Reviews. Public copy of my NCSU class repo at: https://github.ncsu.edu/kajadhav/engr-ALDA-Fall2022-P20

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Terrain-Identification-from-Time-Series-Data

Terrain Identification from Time Series Data. Public copy of my NCSU class repo at: https://github.ncsu.edu/kajadhav/Terrain-Identification-from-Time-Series-Data

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XpensAuditor---Group-11

Python, Java, Firebase App to track shared expenses with features like real time SMS and email alerts, web scraping of Walmart and Amazon, interactive charts of expenses, custom categories, etc. Integrated the app with Telegram chatbots using Python APIs for extra features.

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