AWS, EMR, S3, PySpark, Machine Learning, Power BI, Python

The objective of the project is to predict stock prices to gain significant profits. In this project, we have proposed a machine learning approach that will be trained from the available stock data and gain intelligence, then it uses the acquired knowledge for an accurate analysis. The Project uses ML algorithms, AWS, PySpark, Python for forecasting of the price and various Python libraries has been used for the visualization part.

Python, Machine Learning

In this project, we aim to develop an advanced fraud detection system using machine learning techniques to identify potentially fraudulent transactions within a financial company's operations. The dataset provided contains a vast amount of transaction data, and our goal is to build a predictive model that can accurately classify transactions as either legitimate or fraudulent. By employing state-of-the-art machine learning algorithms and rigorous model evaluation, we intend to enhance the company's fraud prevention strategies and safeguard its financial transactions

Python, Streamlit, MySQL

Ecommerce Admin Panel using python libraries of streamlit to design the frontend and mysql connector for database connectivity and the whole database was made in MySQL. Our projects aim is for ecommerce admins to Add, Delete, Update and Insert product and categories for the end use