Nature Exploration Advisor

Project Code :TCMAPY1125

Objective

Plant leaves play an important role to monitor the health condition of the plant. The aim of this research is to build up a system that is able to find out and recognize the type of infection of plant leaf disease, based on a convolutional neural network.

Abstract

The "Nature Exploration Advisor" is a Django-based web application tailored to facilitate travel enthusiasts in discovering and exploring natural destinations such as forests, hotels, and restaurants. With a user-friendly interface, the platform categorizes these locations by state and city, enabling users to efficiently plan their nature-based travel experiences. The application comprises two primary components: an admin panel and a user panel. The admin panel provides authorized users with the capability to manage and update details about forests, hotels, and restaurants. This feature ensures that the platform's database remains accurate and up to date with relevant information, enhancing the overall user experience. Additionally, the user panel offers a streamlined interface for travelers to access and explore the database of natural destinations. Users can search for specific locations of interest and gather essential details about amenities, contact information, and nearby attractions. Key features of the system include location-based exploration, search functionality, and effective database management. These features combine to create a convenient and centralized platform for travelers to discover and plan nature-based travel experiences. By providing access to a comprehensive database of forests, hotels, and restaurants across different states and cities, the Nature Exploration Advisor caters to the diverse interests and preferences of users.

Keywords: Travel, Location-based exploration, Search functionality, Immersive travel.

NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

Block Diagram

Specifications

Hardware Requirements

Processor         :         I3/Intel Processor

RAM               :          4GB (min)

Hard Disk        :          160GB

 

Software Requirements:

Operating System                :   Windows 7/8/10             

Front End                              :   HTML, CSS

Scripts                                    :   JavaScript.

Database                               :   SQLite3

IDE                                          :   VSCODE

Programming Language     :   Python

Framework                            :   Django

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