An intelligent Android application built with Kotlin that uses a genetic algorithm to suggest real estate properties based on user preferences.
This project is a personal academic endeavor to demonstrate the practical application of a complex optimization algorithm to a real-world problem. The app serves as a smart recommender system for a real estate company, providing a refined list of properties that are best suited to a customer's specific needs.
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Genetic Algorithm: At its core, the app utilizes a genetic algorithm to evolve a set of potential property matches.
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User Preference Input: The application takes various user preferences (e.g., type, location, number of rooms) as input.
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Intelligent Recommendations: The algorithm intelligently evaluates and ranks properties to provide the most optimal suggestions.
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Intuitive UI: A clean and easy-to-use user interface developed with Kotlin.
The genetic algorithm operates on a population of "chromosomes," where each chromosome represents a potential property. The algorithm performs the following steps:
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Initialization: A random population of properties is generated.
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Fitness Evaluation: A "fitness function" evaluates how well each property matches the user's preferences.
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Selection: Properties with a higher fitness score are selected to be "parents" for the next generation.
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Crossover & Mutation: Parents are combined (crossover) and slightly altered (mutation) to create new, potentially better property recommendations.
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Iteration: This process is repeated over many generations, with the population continuously evolving toward a more optimal solution.
This evolutionary approach allows the app to find excellent recommendations without needing to exhaustively search through every single property in the database.
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Language: Kotlin
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Platform: Android
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Algorithm: Genetic Algorithm
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Getting Started
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Clone the repository:
git clone https://github.com/Ali34Ahmad/Real-Estate-Recommender -
Open the project in Android Studio.
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Build and run the app on an Android emulator or a physical device.
Feel free to open an issue or submit a pull request if you'd like to contribute.