Pinned Repositories
Angular-training
Created with StackBlitz ⚡️
Computer-Vision-API
Created an application using NodeJS and google vision API, which uploads an image and detects its features using Google Cloud Vision API.
Handwritten-Digit-Recognition
Implemented the K-Means clustering algorithm. Used principal component analysis(PCA) and linear discriminant analysis(LDA) for dimensionality reduction of data set.
N1_project
NodeJS + Express project
photo-gallery
PhotoSite3
This project displays the basic implementation of MVC model in Ruby On Rails. Users can post and comment on the images where the data is preloaded and then deploying such an application to AWS EC2 (IaaS)
Sign-Reading
We have used Transfer learning using EfficientnetD0 model. First we are detecting images and based on detection we are classifying in 3 various classes. Model has accuracy of 93% and also converted that model to tflite model which is used for Android application. For live testing we have around 90% accuracy using tflite model.
Surveillance-System
Tweet-with-friends
Implemented a twitter application like on Facebook Developer Platform which uses Google App Engine and its datastore to store and retrieve the tweets.
Twitter-Sentiment-Analyzer
Analyzed tweets based on Twitter Data Set, and based on the sentiments, classified it into Positive, Negative and Neutral tweets with accuracy more than 95%.
zeel1997's Repositories
zeel1997/Computer-Vision-API
Created an application using NodeJS and google vision API, which uploads an image and detects its features using Google Cloud Vision API.
zeel1997/Handwritten-Digit-Recognition
Implemented the K-Means clustering algorithm. Used principal component analysis(PCA) and linear discriminant analysis(LDA) for dimensionality reduction of data set.
zeel1997/PhotoSite3
This project displays the basic implementation of MVC model in Ruby On Rails. Users can post and comment on the images where the data is preloaded and then deploying such an application to AWS EC2 (IaaS)
zeel1997/Sign-Reading
We have used Transfer learning using EfficientnetD0 model. First we are detecting images and based on detection we are classifying in 3 various classes. Model has accuracy of 93% and also converted that model to tflite model which is used for Android application. For live testing we have around 90% accuracy using tflite model.
zeel1997/Tweet-with-friends
Implemented a twitter application like on Facebook Developer Platform which uses Google App Engine and its datastore to store and retrieve the tweets.
zeel1997/Twitter-Sentiment-Analyzer
Analyzed tweets based on Twitter Data Set, and based on the sentiments, classified it into Positive, Negative and Neutral tweets with accuracy more than 95%.
zeel1997/Angular-training
Created with StackBlitz ⚡️
zeel1997/N1_project
NodeJS + Express project
zeel1997/photo-gallery
zeel1997/Surveillance-System