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Spam : Spam, also referred to as junk messages, is unsolicited messages sent in bulk by email (spamming). Since the expense of the spam is borne mostly by the recipient, it is effectively postage due advertising. This makes it an excellent example of a negative externality. Most spam messages are commercial in nature.

Ham (not spam) : "Ham" is e-mail that is not Spam. In other words, "non-spam", or "good mail". It should be considered a shorter, snappier synonym for "non-spam". Its usage is particularly common among anti-spam software developers, and not widely known elsewhere; in general it is probably better to use the term "non-spam", instead.

What does Spam Classifiers do?

Spam classifiers detect unsolicited, unwanted, and virus-infested email (called spam) and stop it from getting into email inboxes. Internet Service Providers (ISPs) use spam filters to make sure they aren't distributing spam.!

Trigger word detection is the technology that allows devices like Amazon Alexa, Google Home and Apple Siri to wake up upon hearing a certain word.

For this Project Our trigger word will be "Activate." Every time it hears you say "activate," it will make a "chiming" sound

Used these audio files to synthesize a dataset to train the model.
* The "activate" directory contains positive examples of people saying the word "activate".
* The "negatives" directory contains negative examples of people saying random words other than "activate".
* There is one word per audio recording.
* The "backgrounds" directory contains 10 second clips of background noise in different environments.

Tic Tac Toe, is a paper-and-pencil game for two players, X and O, who take turns marking the spaces in a 3×3 grid. The player who succeeds in placing three of their marks in a horizontal, vertical, or diagonal row is the winner.

This is a working Python Package and can be installed either locally or via pip from the pypi repository! You can install it into your Python environment using command :
pip install my-tic-tac-toe
and can be played in the python shell by importing this package using :
import my_tic_tac_toe

Neural Style Transfer(NST) is one of the most fun techniques in deep learning. It merges two images, namely: a "content" image (C) and a "style" image (S), to create a "generated" image (G). The generated image G combines the "content" of the image C with the "style" of image S.!

Neural Style Transfer (NST) uses a previously trained convolutional network, and builds on top of that. We used the VGG Network. Specifically, we'll use VGG-19, a 19-layer version of the VGG network. This model has already been trained on the very large ImageNet database, and thus has learned to recognize a variety of low level features (at the shallower layers) and high level features (at the deeper layers).

The project is aimed towards Entrepreneurs or Stakeholders who want to open a new Restaurant or grow their current business.

Toronto is one of the most densely populated area in Canada. Being the land of Opportunity, it brings in a variety of people from different ethnic backgrounds to the core city of Canada, Toronto. The multiculturalism is seen through the various neighborhoods including; Chinatown, Corso Italia, Little India, All the heros (Avengers) of MCU are characterized in this app.

Kensington Market, Little Italy, Koreatown and many more. Downtown Toronto being the hub of interactions between ethnicities, brings many opportunities for entrepreneurs to start or grow their business. It is a place where people can try the best of each culture, either while they work or just passing through. Toronto is well known for its great food.

The objective of this project is to use Foursquare location data and regional clustering of venue information to determine what might be the ‘best’ neighborhood in Toronto to open a restaurant. Pizza and Pasta are one of the most bought dishes in Toronto originating from Italy. Toronto being the fourth largest home to Italians with a population over 500k, there are numerous opportunities to open a new Italian restaurant. Through this project we will find the most suitable location for an entrepreneur to open a new Italian restaurant in Toronto, Canada.

A Tkinter Based GUI Project to demonstrate a Gully Cricket Match by providing correct Third Umpire decision whether its related to Run Out decision, Edged from bat decision, LBW decision, Caught or not decision, etc.
We have created a GUI using tkinter python that can take videos as input and shows the footage in slow or fast motion according to our need and using that we can give the correct decision.

Currently we are feeding video manually to the system after recording.
Work can be done ahead..
To fetch video directly from the camera to this system itself and trimming the part whatever it needs.

A basic Python program to demonstrate how we can generate the Railways Station Announcement by maintaining a database of required information regarding the trains in an excel sheet.

What actually we have done in this project is that,
* First of all we had to record the sample announcement of any of the train from the railway station, Or we can also download the sample announcement from the internet.
* And then trimming the recorded sound of the train no., train name, source & destination and platform to insert our own generated data voice.
* We maintain a database in excel sheet of various information regarding the train no., name, source destination, platform no. on which train is arriving and so on.
* And finally merged the generated voice according to our database.