Visitors Management System
Developed a secure Visitor Management System with IPS integration for tracking employee movement and providing analytical dashboard for decision-making.
Visitor Management System
Overview:
Developed a Visitor Management System with IPS integration to track employee movement inside the campus and enhance security. The system generates ID passes for guests entering the premises and provides an admin dashboard for managing guest verification and approval. An analytical dashboard provides quick data insights for better decision-making.
Summary:
- Developed a Visitor Management System with IPS integration using Python and Django frameworks.
- Used deep learning techniques to track employee movement inside the campus and improve security measures.
- Designed and implemented an ID pass generation system for guests entering the premises.
- Developed an admin dashboard to manage guest verification and approval, and ensure compliance with security protocols.
- Designed and developed an analytical dashboard using data science and data visualization techniques for better decision-making.
- Collaborated with a team of developers and stakeholders to ensure project completion within the given timelines.
Skills Applied:
Python, Django, Deep Learning, Data Science, Data Visualization, Security Protocols, Agile Methodologies
Candlestick Pattern Analyzer
Python based web app which allows you to identify the candlestick patterns on charts.
Candlestick Pattern Analyzer
Overview:
Developed a web application using Python and Flask to analyze stocks and their candlestick charts. Created a custom dataset using the Yahoo Finance API, visualized the data into a candlestick chart, and identified various patterns at different dates on a daily timeframe. Published a review paper in the International Journal of Innovative Research in Computer and Communication Engineering (IJIRCCE), registered a copyright, and contributed to the field of data analysis and stock market prediction.
Summary:
- Developed a web application using Python and Flask for analyzing stocks and their candlestick charts.
- Created a custom dataset consisting of daily stock prices using the Yahoo Finance API and performed web scraping to gather data.
- Visualized the data into a candlestick chart indicating various patterns at various dates on a daily timeframe.
- Contributed to the field of data analysis and stock market prediction by publishing a review paper in the International Journal of Innovative Research in Computer and Communication Engineering (IJIRCCE), which has an impact factor of 7.488.
- Registered a copyright for the application and dataset, demonstrating strong attention to intellectual property rights.
- Collaborated with a team of developers and stakeholders to ensure the project's success within a given timeline.
Skills Applied:
Python, Flask, Web Scraping, API Integration, Web Development, Data Science, Technical Writing
Driver Drowsiness Detection System
Created a system that uses computer vision and deep learning to monitor the driver's face for signs of drowsiness, and providing alerts to prevent accidents.
Driver Drowsiness Detection System
Overview:
Developed a Driver Drowsiness Detection System using computer vision and deep learning techniques for the Hydrogen Fuel Cell Bus developed by CSIR and KPIT Pune. The system improves road safety and prevents accidents caused by drowsy driving. The system uses a camera to monitor the driver's face and alert them when they show signs of drowsiness or distraction.
Summary:
- Developed a Driver Drowsiness Detection System using computer vision and deep learning techniques for the Hydrogen Fuel Cell Bus developed by CSIR and KPIT Pune.
- Trained the system using a large dataset of images and videos to accurately detect driver drowsiness and distraction.
- Integrated the system into the Hydrogen Fuel Cell Bus to improve road safety and prevent accidents caused by drowsy driving.
- Used OpenCV library to capture video frames from a camera in real-time, and applied face detection and tracking algorithms to monitor the driver's face.
- Collaborated with a team of developers and stakeholders from CSIR and KPIT Pune to ensure seamless integration and optimal performance of the system.
- Contributed to the field of road safety and accident prevention by developing a reliable and accurate system that can help reduce the number of accidents caused by drowsy driving in the Hydrogen Fuel Cell Bus.
Skills Applied:
Python, OpenCV, Deep Learning, Computer Vision, Real-time Video Processing, Algorithm Development, Teamwork
Advanced Library Automation System
[Patent Project] It is a android app used to control the movements of a library automation system SCARA robot developed in Java.