Sports Forecast Website Development

Project Objective: Develop a sports prediction website with interactive functionalities, including game result predictions, live scores, odds, and more. The prediction system will be powered by AI, aiming to achieve a minimum accuracy rate of 85%. The site should feature a dashboard that tracks the AI's performance, showing daily, weekly, and monthly accuracy rates. Project Requirements 1. Key Features AI Predictions: The system must generate predictions for game results based on historical data and real-time information. The AI must be trained to achieve a minimum accuracy rate of 85%. Predictions should include: Match result (win, draw, loss) Total goals Odds for betting AI should be trained using machine learning algorithms based on data provided by the SportMonks API. Performance Dashboard: The website should display an interactive dashboard showing the AI’s accuracy in real time. Performance Metrics: Daily, weekly, and monthly accuracy rate. Number of predictions made, with correct and incorrect predictions. Performance graphs (line or bar charts) to visualize prediction trends. The dashboard should update automatically as predictions are made and game results are known. Integration with the SportMonks API: The site will use the SportMonks API to: Retrieve live scores of games. Get detailed information about teams, competitions, players, and match statistics. Fetch live odds. Use historical data to train the AI and improve predictions. User Interface: The site should have a responsive design, functioning well on both mobile and desktop devices. Users should be able to easily access: Live scores (result updates) Odds and future match predictions Historical predictions League standings Side Bar for quick navigation between sections (Live Scores, Odds, Calendar, Standings, Top Scorers, etc.) 2. Technologies and APIs SportMonks API: The SportMonks API will be the primary data source. The freelancer will need to integrate this API into the website to ensure that all data, such as live scores, odds, and team/player statistics, is always up-to-date. AI Training (Machine Learning): Python will be the preferred language for training the AI, utilizing libraries like TensorFlow or scikit-learn. Historical data provided by the SportMonks API will be used to train the AI based on previous match results, odds, team form, and other relevant statistical factors. The AI should be trained to predict game outcomes, aiming for a minimum accuracy rate of 85%. The system should be capable of learning from new matches and adjusting predictions based on the most recent data. Backend (Server): Node.js or Python (Flask/Django) can be used for backend development. The server will: Connect to the SportMonks API to fetch data. Process historical data and utilize AI models to generate predictions. Update results and accuracy metrics in the dashboard in real time. Frontend (User Interface): React or Vue.js will be used to build the dynamic, interactive user interface. Data display (such as performance graphs, live scores, and odds) will be handled using [login to view URL] or D3.js to create interactive graphs. 3. Freelancer’s Tasks Integrating the SportMonks API: Connect the backend to the SportMonks API to retrieve live game results, odds, and other match statistics. Display live odds, results, and match statistics directly on the user interface. Developing the AI Prediction System: Train the AI using historical game data (provided by the SportMonks API) to predict match outcomes. The AI should achieve a minimum accuracy rate of 85%. Implement the AI into the backend to automatically generate predictions for future games based on live data. Developing the Dashboard: Create an interactive dashboard that displays the AI’s performance. The dashboard should display: Graphs of daily, weekly, and monthly accuracy rates. Accuracy statistics (number of correct/incorrect predictions). Historical predictions made by the AI. User Interface (UI): Develop the user interface using React or Vue.js to display data in an intuitive way. Ensure the interface is responsive and easy to navigate on both mobile and desktop devices. Automating and Updating Data: Implement logic to ensure the site is automatically updated with new results and predictions without requiring the user to refresh the page (using AJAX, WebSockets, or real-time technologies). 4. Expectations and Timeline Performance Expectations: The AI must achieve an 85% accuracy rate or higher when predicting game outcomes. Timeline: Set a realistic timeline for development, considering the complexity of API integration, AI training, and UI implementation. Testing: The freelancer should test the AI predictions, make adjustments, and optimize the system to improve accuracy. 5. Resources Available SportMonks API Documentation: Provide the link to the full documentation of the SportMonks API so the freelancer can familiarize themselves with the available data. Historical Data for AI Training: Provide access to historical game data (if necessary) for training the AI. Conclusion This is a detailed summary of what you need to send to the freelancer. The focus is on integrating the SportMonks API, training the AI to achieve a minimum accuracy rate of 85%, developing an interactive dashboard to track accuracy, and building a modern, user-friendly interface.

ID do Projeto: 39240604