Please note that responses generated by AI writing tools will not be considered. We are looking for personalised responses that demonstrate your understanding and vision for this project

We are seeking a highly skilled and experienced developer to build a custom AI-powered SaaS application that compiles and analyzes sports statistical data. The core functionality of this application involves scraping statistical data from a designated external website, which is rich in sports statistics across many pages and datasets. The application must constantly monitor the source website to ensure that the data files are always current and up-to-date.

Objective:

The aim of this project is to create a sophisticated tool that allows users to query statistical data. The application should leverage advanced machine learning, data science, and predictive analytics techniques to mathematically analyze the datasets for various insights and predictions.

Key Features and Requirements:

Data Scraping and Monitoring: Efficiently scrape sports statistics data from the specified website, with capabilities to monitor and update the data in real-time.

AI and Predictive Analytics: Implement AI algorithms and predictive analytics to analyze the data, providing insightful and valuable predictions on AFL games and player performances.

SaaS Infrastructure: Develop a scalable SaaS platform with user authentication, subscription management, and secure payment processing.

Open Source API Evaluation: Investigate the availability of open-source APIs for statistics as an alternative data source and assess their integration feasibility.

MVP Development: Initially, design the architecture and build a working prototype. This includes estimating input and usage costs.

Technology Stack: Suggest and justify the choice of technologies, frameworks, and tools for the development of this application.

Ideal Candidate:
The ideal candidate should have a strong background in AI, machine learning, data science, web scraping, and SaaS application development. Experience with sports statistics or predictive analytics in sports is highly desirable. Candidates should demonstrate:

Proven experience in developing AI and data-driven applications.
Proficiency in web scraping and handling dynamic data sources.
Experience in building SaaS platforms, including user management and payment processing.
Familiarity with machine learning, data science, and predictive analytics.
Ability to recommend and work with the latest technologies and frameworks suitable for this project.
Excellent problem-solving skills and a creative approach to data analysis.

Response Requirements:
When responding to this brief, please include:

A brief description of your experience relevant to this project.
An outline of the proposed technology stack and tools you recommend for this project.
Any previous work or projects that demonstrate your ability in similar domains.
Please note that responses generated by AI writing tools will not be considered. We are looking for personalised responses that demonstrate your understanding and vision for this project

Hourly Range: $15.00-$35.00

Posted On: March 22, 2024 11:22 UTC
Category: Full Stack Development
Skills:Python, React, AI Development, Data Science, Artificial Intelligence, Selenium, Machine Learning

Country: Australia

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