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To detect fake images using credible sources
The problem statement we chose is inclined towards stopping the spread of fake news, which often-time causes civil Break down.
An app that let's you know if an image is a recent viral news or an old one, and hence helps you decide which news is real and which is fake.
The real world has a lot of news generated every seconds some real ,some fake and some partially true.In these project we have tried to accomplish detection of fake news to some extent.
Smart Survelliance System developed for social good
WebDM is a chrome extension integrated with NLP to help make your WebMD rabbit hole sessions more informed and accurate.
Web App to find the oldest occurrence of image using reverse image search.
Automated Web App for direct Encryption and Decryption of Whatsapp messages.
To detect fake image using credible sources.
A terminal search engine for image tags
Using the IR-Vis-UV to identify plastics for recycling
Our interactive demand assessment tool equips governments with the information they need to properly plan and allocate clean energy resources to mitigate the risks to their most vulnerable populations
Our idea is to prevent vote rigging which is a lot common nowadays.We made web application which will list the aadhar no of fraud people.Here we use images of retina&fingerprint to implement our idea.
Enter SLFYcare, the smart blog with sentiment detection where you can upload daily diaries with selfies to detect sentiments with facial recognition and NLP!
We are busy creatures and we dont have time to read any lenghty privacy policy. This app summarises the privacy policy.
This is a small demo that is constantly being updated to show how you can implement Mobile Checkout with AT's APIs
Java and Python are termed as most popular Programming languages at any point. Coming to the point Python Popularity is improving more and it is seen
Song similarity search API based on lyrics
A great website that helps you customize your diet based on facts about your health and what your goal is
A helpful tool that uses machine learning to determine if an uploaded picture of a cell is infected by malaria or not.
BMI and Ideal Weight; all in one
Using a yes or no selection people can take their symptoms and narrow down on a potential cause. This is simple and so human error is unlikely.
An iOS + Android app to help Cystic Fibrosis Patients to track and monitor their treatments.
Uses machine learning based on various factors (including race, age, drug usage, etc.) to calculate the lifespan of the user.
