Explore live open-source projects and AI models.

Real-time gait analysis, visualization, and machine-learning tooling for biomechanics research.

Flask-based application that analyses bank statements to generate interactive visualizations and analytical reports. Features include OCR-based data extraction, machine learning for transaction categorization, Azure SQL database integration, and PowerBI dashboards for expense tracking.

1. First we fetch data of stocks in realtime from nse India website, perform basis data visualizations using python to analyze the stock. 2. Then we use machine learning LSTM technique to predict the future stock price and at last create an interactive web-app using Streamlit in python.

This repo is created for collecting resources to visualize machine learning. It will include visually appealing ML plotting resources for showcasing models and more. Additionally, it will contain tools like Viso, PowerPoint slides, vector graphics, and more.

This project simulates IoT sensor data to predict Air Quality Index (AQI) using machine learning. It generates synthetic datasets, computes AQI, trains multiple models, and provides evaluation metrics and visualizations for real-time air quality monitoring and decision-making support.

The objective of the project is to create a Resume Scoring algorithm using Natural Language Processing. The algorithm will parse resumes one by one and will create a Candidate Profile based on the skills mentioned in the resume. A corpus is created using Sketch Engine, Wikipedia pages for various... Read more

Interactive visualization of machine learning model evaluation metrics

This project uses synthetic social media data to model and predict depression risk through machine learning. It combines behavioral patterns and text-based features, trains classification models, and evaluates performance with metrics and visualizations. Intended for research, learning, and exper... Read more

Using machine learning and seaborn to visualize discord data

The continuing increase of Internet of Things (IoT) based networks have increased the need for Computer networks intrusion detection systems (IDSs). Over the last few years, IDSs for IoT networks have been increasing reliant on machine learning (ML) techniques, algorithms, and models as traditio... Read more