The objective of this project is to develop a robust weather forecasting model using deep learning techniques. Leveraging historical weather data and machine learning algorithms, including logistic regression, naive Bayes, CNNs, and MLPs, the aim is to accurately predict weather types. The project seeks to achieve high prediction accuracy, demonstrating the potential of data mining methods for enhancing weather forecasting capabilities.
Keywords: E-Healthcare, Data Security, ECC Encryption, Secure Data Sharing, Cloud Server, Doctor Module, Patient Module, Privacy, Authorization, Confidentiality.
NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

Operating System : Windows 7/8/10
Server side Script : HTML, CSS, Bootstrap & JS
Programming Language : Python
Libraries : Flask, Pandas, Mysql.connector, Os, Smtplib, Numpy
IDE/Workbench : PyCharm, VSCode, Jypyter NoteBook
Technology : Python 3.6+
Server Deployment : Xampp Server
Database : MySQL
HARDWARE REQUIREMENTS
Processor - I5/Intel Processor
Hard Disk - 160GB
Key Board - Standard Windows Keyboard
Mouse - Two or Three Button Mouse
Monitor - Any
RAM - 8GB