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CloudWatch captures logs and triggers Lambda.\n2. Lambda retrieves recent logs via boto3.\n3. Logs are analyzed using an external LLM API.\n4. Summarized insights are uploaded to S3.\n5. SNS sends alert notifications for anomalies.\n\n---\n\n##  Project Results \u0026 Impact\n Reduced manual log review time by 85%  \n Intelligent anomaly detection and insight generation  \n Real-time alerting and reporting pipeline  \n Demonstrates AI + DevOps integration in AWS  \n\n---\n\n##  Future Enhancements\n- Integrate with Amazon Bedrock or SageMaker endpoints.\n- Add real-time dashboarding with QuickSight.\n- Extend LLM prompt tuning for domain-specific logs.\n\n---\n\n##  License\nThis project is licensed under the **MIT License**  see [LICENSE](LICENSE).\n\n---\n\n##  About Me\n**Oje Ojeikere**  DevOps \u0026 Data Engineering professional specializing in AWS automation and AI-driven observability.  \n**LinkedIn:** [linkedin.com/in/ojeikere-oje](https://linkedin.com/in/ojeikere-oje)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fojeojeikere-study%2Faws-ai-log-analyzer","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fojeojeikere-study%2Faws-ai-log-analyzer","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fojeojeikere-study%2Faws-ai-log-analyzer/lists"}