Planwise: Personalized Place Recommendations 🌍

Welcome to Planwise

Planwise delivers a complete recommendation engine for both locals and tourists in Madrid, tailored to each user’s unique preferences. Our platform combines multiple recommendation algorithms, an intuitive interface, and a robust API to create personalized place suggestions.

Key Features

• Interactive Preference Customization: Adjust category preferences through sliders or natural language chat
• Multiple Recommendation Engines: Autoencoder, SVD, Transfer Learning, and Embeddings-based approaches
• Optimized Route Planning: Get the most efficient route to visit recommended places
• User Reviews & Feedback: Rate and comment on visited places to improve future recommendations
• RESTful API: Connect your applications to our recommendation system

Navigation

Overview

• Architecture
• Business Value
• Project Management

Data

• Datasets
• Preprocessing
• Exploratory Data Analysis

Models

• Ensemble
• Autoencoder
• SVD
• Transfer Learning
• Madrid Embeddings

Interfaces

• Streamlit App
• Chatbot

API

• Overview
• Endpoints
• Authentication
• Deployment

Development

• Environment Setup
• Contribution Guide
• Code Quality

Testing

• Overview
• Unit Tests
• Integration Tests

Deployment

• CI/CD
• MLOps
• Database
• Security

Getting Started

To start using Planwise:

1. Check out the API documentation to integrate with your services
2. Learn about our recommendation models and how they work
3. See how to set up your development environment

License

This project is licensed under the MIT License - see the LICENSE file for details.