social street smart

This proposal aims to bolster the security measures of our application by implementing a Bloom Filter to detect malicious links efficiently. It addresses the challenges of cost and complexity associated with existing solutions by leveraging the rbloom Python library. Additionally, it explores the integration of ChatGPT into server environments such as clickbait and fake news detection, offering potential cost savings and enhanced capabilities. Furthermore, it proposes leveraging ChatGPT for text summarization tasks to improve information retrieval and knowledge consolidation. Cloud integration is a key aspect, with plans to develop a CI/CD pipeline and explore cost-effective cloud solutions like ECS, EKS, Lambda functions, Azure, GCP, and AWS free tiers. Standardizing server code structures, documentation, and implementing a testing/development server aim to streamline the development process. Overall, the proposal aims to enhance security, efficiency, and cost-effectiveness while advancing the application's functionality and user experience.