The problem Tap My Idea solves

The problem ISDB-Startups (Internet Startups Database) solves
Entrepreneurs and Investors face lot of dilemma before starting a startup. As we all know that starting a venture is not an easy task, there are lot of challenges associated with it. To help our investors to overcome this dilemma we have designed this Platform. We have used various ml model so that they can know beforehand whether the startup they are starting would be beneficial for them or not.

features
View the history, reviews and growth of the startups on the go.
Create your own startup.
Predict success and failiure of an startup using ml.
Predict if the startup can get a loan using ml.
Predict how much profit startup will make using ml.
Add reviews to a startup and get reviews sentiments using ml.
Invest on the startups using razorpay apis.
Get rewared by investing on a startup.
So we introduced an authentication based login and signup portal for keeping it safe and we have introduced various ML model so that they can know beforehand whether the startup they are starting would be a fail or a success.
We have used natural language processing technique to check whether the reviews are positive or negative to help the investor know what others are thinking about the startup.

Accomplishments that I'm proud of
implemented razorpay api
made flask apis out of pickle models
used tailwind css in entire website
What I learned
make apis from ml models
using tailwind css and chakra UI
What's next for ISDB-Startups (Internet Startups Database)
We are thinking of adding adervtisements in our platform to generate earnings from our idea.
To help people raise funds and make them unicorn startups.
onboarding new startups on to our platform.

Challenges we ran into

Creating success predictor and loan predictor models.
Using razorpay api in our application.
Deciding which model is best for classification as per our need.
Creating our own datasets to train our ML models