CoC Inheritance 2023 || BroCode
Table of Contents
CryptoAnalyser, is an all-in-one platform for staying on top of the dynamic world of cryptocurrencies. This web application not only provides real-time updates on cryptocurrency prices but also harnesses the power of machine learning to predict future price movements. Additionally, CryptoAnalyser offers a user login system, enabling users to track their private cryptocurrency portfolios seamlessly.
- Live Cryptocurrency Prices: Get up-to-date information on cryptocurrency prices, ensuring you stay informed about market trends.
- Machine Learning Predictions: Utilize a machine learning model to predict future cryptocurrency prices. The model employs [your chosen algorithm or model] for accurate predictions.
- User Login and Portfolio Management: Users can create accounts, log in securely, and manage their private cryptocurrency portfolios. Track your investments and analyze your portfolio's performance over time.
- HTML
- CSS
- Javascript
- Material UI
- Tailwind CSS
- React
- Node
- Express
- MongoDB
- Python (Tensorflow)
- YahooFinance
- CoinLore
- CoinGecko
Fully Implemented Features
- Predicting the future prices of cryptocurrencies
- Developed a user-friendly website that displays current statistics of cryptocurrencies and their future market trends.
- A user login system where the user can add their portfolio transactions, and track the respective currencies
Partially implemented Features
- Partially Implemented Feature 1
- Partially Implemented Feature 2
- Develop a framework to facilitate buying and selling of cryptocurrencies from the website itself
- Providing personalised advice to every user based on the past and projected performance of all their holdings
Optimize your trading strategies with real-time prices and machine learning predictions.
Securely manage your cryptocurrency portfolio, tracking performance effortlessly.
Dive into predictive analytics, using CryptoAnalyser as a valuable resource for market analysis.
Understand market dynamics, track prices, and learn about machine learning applications in the financial domain.
Ideal for students and educators exploring real-world applications in finance, data science, and machine learning.
Include your project setup basics here. Steps for how someone else can setup your project on their machine. Add any relevant details as well.
Steps to run your project once its setup. If you have an app or website, list how the user can go about using it.
Add names of your mentors with their emails and links to their GitHub accounts
- Yatharth Dedhia: Email
- Dev Bhuva: Email