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 website. 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.
- Creating success predictor and loan predictor models.
- Using razorpay api in our application.
- Deciding which model is best for classification as per our need.
- 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.
- clone the repo in your local machine
- do
yarnin root directory - do
yarninclient - add DB_URI, EMAIL_USER, EMAIL_PASSWORD in your .env
- do
yarn devin the root directory and your backend is up and running - do
yarn devin client directory and web application will be up and runnning - install python packages mentioned in requirements
- do
cd ml-apiand runpython app.pyand flask api will be up and running
- nodejs
- mongodb
- Heroku
- Flask
- razorpay
- nodemailer
- nextjs
- chakra UI
- tailwind CSS