• False Alarm detection system

Extensively used Python libraries like NumPy, pandas, seaborn and plotly for preprocessing of data before building a classification model. Further detection of false alarm using various machine learning techniques and data analysis tools.

Role:

• Visualize data using matplotlib and seaborn
• Horizontal splitting of the data using train test split techniques.

False Alarm detection system Extensively used Python libraries like NumPy, pandas, seaborn and plotly for preprocessing of data before building a classification model. Further detection of false alarm using various machine learning techniques and data analysis tools.

EFFICIENT MECHANISM FOR CONGESTION CONTROL AND BANDWIDTH UTILIZATION OF VANET Every vehicle in VANET directly acts as a sensor which measures the traffic condition at their current location. This information is analyzed and disseminated within the VANET in a large area and allows each vehicle to keep track of the local traffic situation.

Blood bank Management System The project describes the smart blood bank management system. The main objective of this system to automate the complete operations of the blood bank. They need to maintain hundreds of thousands of records. And also searching should be very faster, so they can find required details instantly. This system is developed on java platform and supported by an SQL database to store blood and user specific details.