This repository combines two AI-powered solutions:
- Issue Debugger – A Gen AI tool that leverages RAG + LLMs to analyze logs, extract relevant insights, and identify the root cause of issues quickly.
- Product Marketing Agent – An AI-driven assistant that uses Agentic Gen AI methodologies (via crewAI) to perform market research, trend analysis, and generate tailored campaign strategies.
Together, they demonstrate how Gen AI can boost both engineering efficiency and marketing intelligence.
- Parses large log files efficiently.
- Extracts key error patterns and diagnostics using LLMs.
- Helps engineers resolve issues faster.
- Includes sample datasets (
sample_log_records.csv,unique_sample_log_records.csv,logsfromterminal.txt) for testing.
- Employs crewAI for Agentic workflows.
- Conducts market research, competitor analysis, and campaign planning.
- Uses product specifications, budget, and timelines to generate tailored strategies.
- Includes supporting documentation (
digital_strategy.md,Marketing_manager_task.md,research.md).
🌟 Why Use This Project?
For Engineers → Automates log analysis and root cause detection.
For Marketing Teams → Generates AI-driven strategies and research insights.
For Businesses → Bridges the gap between support efficiency and market intelligence.