kaushikjadhav01
Ex-SWE Intern @microsoft | MS CS Fall 2022 @ncstate-university | Ex-Software Engineer @browserstack | INFJ
@microsoft, @ncstate-university, @browserstackRaleigh, North Carolina, USA
Pinned Repositories
Cancer-Donation-Portal-Python-Flask-App
Flask App for Cancer Donation Portal using basic Python, SQLite3, HTML, CSS and Javascript
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.
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
Implementaion-of-Private-Cloud-using-ownCloud
Implementation of Private Cloud using ownCloud. ownCloud is a suite of client–server software for creating and using file hosting services. This repository explains implementing ownCloud on an Ubuntu VM running on top of a Windows host for secure cloud storage
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
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.
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
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.
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
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.
kaushikjadhav01's Repositories
kaushikjadhav01/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
kaushikjadhav01/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
kaushikjadhav01/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.
kaushikjadhav01/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
kaushikjadhav01/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.
kaushikjadhav01/Cancer-Donation-Portal-Python-Flask-App
Flask App for Cancer Donation Portal using basic Python, SQLite3, HTML, CSS and Javascript
kaushikjadhav01/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.
kaushikjadhav01/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
kaushikjadhav01/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
kaushikjadhav01/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.
kaushikjadhav01/DeepSpeech
A TensorFlow implementation of Baidu's DeepSpeech architecture
kaushikjadhav01/fullstack-course4
Example code for HTML, CSS, and Javascript for Web Developers Coursera Course
kaushikjadhav01/Image-Caption-Generator
kaushikjadhav01/Breast-Cancer-Prediction-ML-Python
kaushikjadhav01/Chatbot-AI
This repository has been moved to: https://github.com/kaushikjadhav01/Movie-Recommendation-Chatbot
kaushikjadhav01/Face-Swap
kaushikjadhav01/SmartSpend
kaushikjadhav01/Artificial-Image-Generation-using-GANs
kaushikjadhav01/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
kaushikjadhav01/ChatGPT-Clone-MERN
ChatGPT clone using MongoDB, Express.JS, React.JS, Node.JS
kaushikjadhav01/Credit-Card-Fraud-Detection
kaushikjadhav01/CSC-517-Program-1
kaushikjadhav01/kaushikjadhav01
kaushikjadhav01/playwright
Node library to automate Chromium, Firefox and WebKit with a single API
kaushikjadhav01/rasa
kaushikjadhav01/readme-jokes
😄 Jokes for your GitHub READMEs
kaushikjadhav01/reimplementation-back-end
kaushikjadhav01/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
kaushikjadhav01/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
kaushikjadhav01/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.