Recognizing essential entities like name, emails, skills, roles, education, etc. from applicant resumes using a custom trained SpaCy model, and storing them into a cloud database. Providing applicant querying features to filter out applicants according to requirements like skills, or years of experience, etc.
Solving the issues of vehicular traffic data management within campuses or any enclosed area. The Flask Web Application has the features to detect vehicular number plates from Images or Videos using TensorFlow's Object Detection Model. The detected data is stored in Google Sheets with the timestammp. There is a PowerBI dashboard that visualizes the fetched data.
The Machine-Learning project comprises of a web-application that enables the users to fetch traffic-related tweets from Twitter API. The tweets can be downloaded and multiple algorithms have been used to increase the efficiency and versatility. Traffic related tweets are classifies using various algorithms.
Visualizing various statistics from the Premier League 2021-22 season, from individual player data to overall team statistics. The graphs are responsives with various filters, which applies across the dashboard. In addition to this, there is also a player search feature to extract player stats from database. This is a Flask Web Application.
A Streamlit Application that detects most common human activities from Pre-Recorded Videos or Live Camera Feed. This web-application was designed within a small period of time, and hence pre-trained ONNX was used for the detection.
