The CobBot project aims to revolutionize debt collection by providing an intelligent and automated solution for sending personalized messages to debtors. Its core purpose is to streamline the recovery process, making it more efficient and user-friendly. The system empowers users to create highly customized messages and schedule their automated delivery via WhatsApp, ultimately simplifying debt management and improving recovery rates.

The CobBot's robust backend is built with Python, leveraging the FastAPI API for high performance and scalability. This setup ensures efficient handling of requests and seamless integration of new features. A key aspect of the backend is its intelligent automation: it uses Gemini AI to generate personalized and humanized collection messages, dynamically adapting to each debtor's profile for maximum effectiveness. For persistent data storage, the system utilizes JSON files as its database, offering a lightweight and flexible solution. The backend also handles the automated and scheduled delivery of messages via WhatsApp, employing Python libraries like PyWhatKit to ensure timely dispatch without incurring additional SMS costs. This project was developed as the final assignment for the 2nd edition of the Alura IA Immersion.

The user-friendly interface of the CobBot is crafted with modern web technologies: HTML for structuring the content, CSS for styling, and JavaScript for dynamic interactions. This combination delivers an intuitive and responsive web application. The frontend communicates with the backend via Fetch requests, ensuring a smooth and modern user experience. This design allows users to easily customize messages, schedule deliveries, and efficiently monitor the collection process, all through a clean and accessible interface.

Environment.IA: IA de Sustentabilidade

Environment.IA is an innovative full-stack project engineered around the advanced capabilities of the Gemini API. This platform provides an intelligent, conversational interface designed to empower users with actionable insights for both sustainable living practices and effective plant lifecycle management. It leverages advanced AI methodologies to facilitate waste reduction, foster resourcefulness, and optimize horticultural outcomes.

This project showcases a robust application of cutting-edge AI technologies, demonstrating the potential for intelligent systems to drive positive environmental impact and enhance individual resource management. Ongoing development is focused on expanding feature sets, refining model accuracy, and optimizing user experience for a more comprehensive and impactful solution.

Descreva seu segundo projeto. Detalhe o problema que ele resolve, as ferramentas que você usou e o que você aprendeu durante o desenvolvimento.

Descreva seu segundo projeto. Detalhe o problema que ele resolve, as ferramentas que você usou e o que você aprendeu durante o desenvolvimento.

Descreva seu segundo projeto. Detalhe o problema que ele resolve, as ferramentas que você usou e o que você aprendeu durante o desenvolvimento.