Explore live open-source projects and AI models.

In this mini-project i have chosen to do sentiment analysis of social media websites such as twitter and reddit to gain insights into the people’s opinion towards prime ministerial candidates for the Lok Sabha election 2019. Social media provides a platform for people’s opinion of a person or eve... Read more

The basis of this project involves analyzing Amgen future profitability based on its current business environment and financial performance. Technical Analysis, on the other hand, includes reading the charts and using statistical figures to identify the trends in the stock market. The dataset use... Read more

Vanguard Comercio īnC is a trusted authority in the digital currency investment domain. Our platform allows potential investors to build their investment portfolio consisting of cryptocurrencies. Leverage years of experience of our experts and kickstart your crypto investment endeavours with Vang... Read more

Interactive cryptocurrency prediction app using machine learning and Streamlit. Analyse trends, forecast prices, and explore market insights.

Big Data Inventory Management on AWS (Demand Forecasting, Machine Learning, Dashboarding) : Presented at Carlson School of Management during the Trends Marketplace event to professors, alumni and working professionals from various companies.

Predict whether a patient should be diagnosed with Heart Disease. Examine trends & correlations within our data. Determine which features are most important to Heart Disease diagnosis. We would like to deploy a Machine Learning algorithm where we can train our AI to learn & improve from experienc... Read more

End-to-end Machine Learning pipeline to predict yearly stock trends for 200+ Indian stocks using Random Forest and Technical Indicators (RSI, Volatility, SMA).

This project leverages GIS and machine learning to map groundwater contamination using synthetic data. It identifies spatial pollution trends, predicts contamination levels, and supports sustainable water resource management.

This project focuses on analyzing road safety data using Python and machine learning techniques to uncover accident trends and predict outcomes. The dataset contains information about traffic accidents, including road and weather conditions, vehicle types, time of accident, and casualty details.

Recent trends in networking are proposing the use of Machine Learning (ML) techniques for the control and operation of the network. In this context, ML can be used as a computer network modeling technique to build models that estimate the network performance. Indeed, network modeling is a central... Read more