AIDriven Weather Forecasting and Crop Simulation for Precision Agriculture

Project Code :TCMAPY1556

Objective

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.

Abstract

This project introduces an advanced framework for enhanced security and efficient data sharing in e-healthcare systems, utilizing Elliptic Curve Cryptography (ECC)-based encryption. The system consists of three integral modules: Doctor, Patient, and Cloud Server. The Doctor module facilitates secure registration, login, appointment management, and prescription uploads. The Patient module ensures secure registration, login, symptom uploads, appointment booking, and report viewing, with all data encrypted using ECC to ensure the confidentiality and integrity of sensitive medical information. The Cloud Server module handles user authentication, doctor authorization, and patient data management. By leveraging ECC, the system provides a robust solution for secure data transmission, safeguarding healthcare data against unauthorized access and cyber threats. This approach ensures privacy, enhances trust in the healthcare system, and facilitate authorized data access, improving overall healthcare service delivery.

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.

Block Diagram

Specifications

SOFTWARE REQUIREMENS 

  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

Demo Video