Nullify

Inspiration

Imagine you receive a popup that New York is Closed for the day and without Verification you forwarded it and the chain continues. Imagine what nuisance it could cause to a local New York traveler or an Employee. On a larger Level imagine the Ruckus caused to the Wall Street Brokers for Instance. When a simple Popup can cause such a huge nuisance. It needs a solution

What it does

It is a Machine Learning Model trained using Logistic Regression which classifies News into Fake and Real news

How we built it

We built is using Python, Pandas Framework, Sckitt Learn

Challenges we ran into

1. Collecting Data, Preprocessing it and then Debugging it was a huge task as the Dataset was quite Large.

2. Making a Predictive System that also takes User Input and vectorizes it to be fed to the machine

Accomplishments that we're proud of

1. We achieved 98% Accuracy

2. We are one of a kind in the Market which to varied extents in unexplored.

3. With Some UI Additions we can make the Market Big

What I learned

1. Logistic Regression

2. Pandas

3.How little things in Life can make a Big Difference

What's next for Nullify

1. A chrome Web Extension.
2. Web APP
3. Expansion to Fintech(Bank Note Authentication, Fraudulent Transactions Detection)

Built With

• logistic-regression
• pandas
• python
• skitt