LNMHacks / submissions

Hackference Hackathon Submissions
3 stars 11 forks source link

PANDAS - KRYPTONIC #19

Open psifrous opened 5 years ago

psifrous commented 5 years ago

Before you start, please follow this format for your issue title:
PANDAS - KRYPTONIC

ℹ️ Project information

Please complete all applicable.

🔥 Your Pitch

  • A digital cryptocurrency investment webApp which will help you decide in which coin to invest based on its history and trends, using machine learning on it.
  • When the user enters the coin he wants to invest in and the time for which he/she wants to invest, we train a personalized Prophet model on our Microsoft Azure machine and predict net profit in the form of Kryptons:diamond_shape_with_a_dot_inside:!! We can also compare multiple coins and show the best one to invest in. Everthing happens realtime in just a matter of some seconds!!!⏱️
  • Kryptons:diamond_shape_with_a_dot_inside:: It is statistical value developed by our team which tells us the confidence of investment, Higher the number of Kryptons, Higher is your chance of a good investment!
  • Platforms used 📦

    This project was developed on the Azure platform

    Our ML algorithm is based upon Facebook's Prophet algorithm. Prophet tries to capture the seasonality in the past data and works well when the dataset is large.
    Please refer: LINK

    Project Synposis ⚛️

    Ever had a thought of investing money in a smart way?
    Sshhh🤫! We have a solution!

    Current Opportunity 🚀
    There are numerous ways to invest in a stock market... But! Don't you think it's differs from region to region and the market is quite saturated and common?
    So we came up with Kryptonic a unique webApp that lets you compare different cryptocurrencies and suggests a personalised cryptocurrency for a given amount of time, based upon a Machine learning model... and all of it happens real-time!

    🔦 Any other specific thing you want to highlight?

    This project utilises Microsoft azure as follows: WEB APP Service for hosting the website, adnd virtual machine runnning ubuntu 18.04 , which has the ML model

    ✅ Checklist

    Before you post the issue: