Place Navigator

Introduction

Place Navigator is a meticulously crafted application developed by a dedicated team leveraging the Flutter framework. This innovative solution guarantees seamless navigation to the finest establishments in any locale across the globe. With just a few taps, users can effortlessly pinpoint their desired venue category whether it's a restaurant, hospital, bar, cafe, school, or myriad others along with specifying the preferred proximity, ensuring unparalleled convenience wherever they may roam. Upon selection, the app swiftly directs users to a comprehensive place page, replete with essential details such as ratings, recommendations, operational status, and user reviews, facilitating prompt decision-making.

Features

• Select from a diverse array of place categories including schools, universities, cafes, restaurants, and more.


• Customize search radius based on current location.


• Seamless integration with Google Maps for precise navigation.


• View detailed information for searched places, encompassing ratings, reviews, and recommendations.

Enhancements

Elevate user experience with intuitive onboarding screens, adding a touch of sophistication to the app's interface.

Source Code Architecture

The source code is neatly organized within a zip folder, comprising three directories and two files. The 'lib' folder houses Dart files, while the 'android' folder encompasses the Android application structure, including Kotlin files, Gradle configurations, and the manifest file. Additionally, the 'res' folder contains graphical assets such as PNGs and JPEGs, essential for enriching the visual appeal of the app. The 'assets' folder further supplements the graphical resources. The two files, 'pubspec.yaml' and 'README', provide essential dependencies and project documentation respectively.

Manifest Configuration

The manifest file serves as a placeholder for the Google Maps API key, ensuring seamless integration with mapping functionalities. Furthermore, the 'ConstantClass.dart' file conveniently consolidates essential strings, allowing for easy configuration of the Google Maps API.

Conclusion

With Place Navigator, discovering top-tier establishments has never been more effortless. Its robust feature set, coupled with meticulous source code architecture, ensures a seamless user experience, making it an indispensable tool for navigating the modern world.

1. Google Maps Integration:
Ensure seamless integration of Google Maps within the Flutter application by utilizing the google_maps_flutter package. Adhere to the installation and setup guidelines provided by the package to incorporate Google Maps functionality effectively.

2. Search and Selection of Place Categories:
Implement a robust search mechanism enabling users to specify their desired place categories. Utilize a combination of text input fields and search buttons to facilitate the submission of search queries. Upon submission, employ the Google Places API to retrieve relevant places corresponding to the specified categories.

3. Selection of Distance from Current Location:
Provide users with the capability to select their preferred distance range from their current location. Offer intuitive options such as dropdown menus or sliders to facilitate user interaction and selection.

Viewing Searched Place Results:
Display the retrieved place results seamlessly on the Google Map interface as identifiable markers. Utilize the Google Places API to extract pertinent details such as place names, locations, ratings, reviews, and recommendation types.

4. Displaying Ratings, Reviews, and Recommendation Types:
Present comprehensive information regarding the ratings, reviews, and recommendation types associated with each searched place. Incorporate intuitive display mechanisms, such as list views or pop-ups, to ensure accessibility and clarity of information.

5. Recommendation Type Determination:
Employ a systematic approach to determine the recommendation types for each place based on established criteria. Consider factors such as ratings, reviews, and overall user sentiment to categorize places as "Recommended," "Good," "Medium," or "Weak" as deemed appropriate.