AI-driven Interactive POI Map System - 07/08/2024 15:00 EDT

Development of an AI-driven content collection and mapping system For long term and strategic project, I am seeking a developer(s) with relevant experience to build a backend system that identifies, accesses, scrapes, curates, and publishes content related to Points of Interest (POIs) on an interactive map. The system will be designed to work with both public and private data sources, providing a seamless user experience across multiple devices, including smartphones, tablets, and PCs. The system must support various types of POIs, ranging from tourist landmarks to real estate properties, and must integrate additional data sources like weather or pollution levels. I am looking to establish a longer-term working relationship that will cover other business areas. I will only work with people and teams that have a proven track record with relevant customer feedback. I encourage challenges and suggestions to the brief as a way to assess how we can work together. I have leadership background from many large companies across several industries and I value team dialog, diversity and openness in generating ideas and solving problems, and discussions in general about ways to create customer value. Key Components and deliverables: 1. Data source identification and access: Scope: - Identify and create access to both public and private data sources that provide information about POIs, such as tourist landmarks or real estate properties. Tasks: - Implement AI algorithms to automatically identify relevant public and private data sources related to POIs within the geographic area specified by the admin. - For public data sources, develop scraping mechanisms to extract data, while ensuring compliance with legal requirements (e.g., respecting [login to view URL] files). - For private data sources, establish agreements and build APIs for accessing and retrieving data, including potential integration with customer databases or third-party services like weather and pollution data. Outcome: - A system that effectively identifies and accesses a wide range of data sources, both public and private, ensuring comprehensive coverage of POIs, and is capable of integrating with multiple types of databases. 2. Content scraping and data collection: Scope: - Develop mechanisms to scrape and collect content from the identified data sources, focusing on relevant facts, stories, and other content about POIs. Tasks: - Implement web scraping tools (such as Scrapy and BeautifulSoup) to extract data from public sources, with customization based on the admin’s storytelling setup. - Integrate API connections to fetch data from private sources, including customer-specific databases and services, ensuring real-time or periodic updates as per the agreement. - Extract and store geolocation data for each POI, ensuring that every piece of content is accurately mapped. - Ensure the system can translate content from various languages into English for admin processing and into the user’s preferred language upon publication. Outcome: - A robust data collection system that gathers detailed and structured content, including geolocation information, and supports multilingual processing and translation, ready for curation and publication. 3. Content curation and storytelling setup: Scope: - Create a system that curates and selects the scraped content based on predefined storytelling criteria and ethical principles, as set by the admin. Tasks: - Develop algorithms to categorize and filter content based on admin-defined criteria such as historical significance, cultural relevance, or thematic focus. - Implement ethical filters to exclude controversial or sensitive content, ensuring that the information presented is appropriate for all users. - Structure content into a storytelling format that is engaging and informative, adhering to the overall narrative set by the admin. Outcome: - A curated content repository that aligns with the desired storytelling setup, ready for integration into the user-facing application. 4. Interactive map integration: Scope: - Integrate the curated content into an interactive map, allowing users to explore POIs by clicking on map markers, with support for customizable map styles. Tasks: - Develop integration with mapping platforms like Google Maps, Mapbox, or similar, allowing for customizable map styles and functionalities. - Implement features that display content when a user clicks on a POI marker, including text, images, videos, and external links for more detailed information. - Ensure that the system can handle various devices and screen sizes, offering a seamless experience across smartphones, tablets, and PCs. - Ensure fast data access and presentation, even in areas with limited connectivity, by implementing intelligent caching and prefetching strategies, and using placeholder content during load times. Outcome: - An interactive map that displays curated POI content, providing an engaging and easy-to-navigate interface for users to explore POIs, similar to the experience users get on platforms like Google Maps or Apple Maps. 5. User interaction tracking and analytics: Scope: - Track and analyze user interactions with the interactive map and content, providing insights into usage patterns and content engagement. Tasks: - Implement tracking mechanisms to monitor which POIs are most frequently accessed, what type of content is most engaging, and how users navigate the map. - Develop analytics dashboards for admins to review usage data, identifying trends and potential areas for content improvement or expansion. - Provide tools for adjusting content based on user feedback and interaction data, ensuring that the platform remains relevant and engaging. Outcome: - A data-driven analytics system that informs continuous improvement of the content and user experience based on real-world usage patterns. 6. Publishing and web-based app development: Scope: - Ensure that the curated content and interactive map are published on a web-based platform accessible via different devices. Tasks: - Develop a responsive web-based application that seamlessly integrates with the interactive map and content repository. - Optimize the app for speed and ease of use, ensuring quick loading times and smooth interaction across various devices. - Implement a user-friendly interface that presents content in the user’s preferred language, based on their system settings or manual selection. Outcome: - A polished web-based app that offers a smooth and engaging user experience, allowing easy access to curated content about POIs through an interactive map. From my research, these are examples of required technical knowledge and expertise: - AI and machine learning: Proficiency in frameworks like TensorFlow or PyTorch for developing AI algorithms for data source identification, content filtering, and multilingual processing. - Web scraping and data access: Experience with tools like Scrapy, BeautifulSoup, and Selenium for web scraping, and API integration for accessing private databases and third-party services (e.g., RESTful APIs). - Mapping technologies: Knowledge of mapping platforms like Google Maps API, Mapbox, or similar, including experience with geolocation data and interactive map integration. - Backend development: Expertise in backend technologies such as Python (with Flask/Django) or Node.js, focusing on API development, database management, and integration with mapping services. - Frontend development: Proficiency in JavaScript frameworks like React.js or Vue.js for developing responsive, interactive web-based applications. - Database management: Familiarity with databases like MongoDB, PostgreSQL, and search optimization tools like Elasticsearch for managing and retrieving structured content and geolocation data. - Language processing and translation: Experience with translation APIs (e.g., Google Translate, Microsoft Translator) and handling multilingual content for seamless user experience. - Performance optimization: Skills in implementing caching, prefetching strategies, and optimizing data access for fast, responsive user interactions even in low-connectivity environments. Milestones and costs: I want to start the development project in the next 3-5 weeks allowing for time to meet and discuss with relevant developers. These are the key milestones listed in order of importance (given my current knowledge): - Data source identification and access setup - Content scraping, geolocation data extraction, and curation System development/ existing tool - Interactive map Integration with content - User interaction tracking and analytics development - Web-based app development and final integration - Testing, optimization, trial, and launch with early users We are looking to develop a working version 1 solution, and costs should reflect that. If the solution needs additional development to scale and add more complexity, then the project will deal with that at the relevant time. Working together, security and IP considerations: - Language and time-zone: English language proficiency written and oral; Google Meet meetings to track progress. Preferably in a time-zone not too far from CET. - NDA: All developers must sign an NDA to protect intellectual property and ensure confidentiality. - Compliance: Ensure all content scraping and data usage comply with copyright and data protection regulations. - Modular development: Separate the scraping, curation, and mapping modules to protect the core IP and allow for independent updates. - Performance and security monitoring: Implement continuous monitoring tools to ensure system performance, security, and compliance.