1
1
India
1 year of experience
I am passionate about building AI-powered solutions, with hands-on experience in developing multilingual grammar checkers, SEO analytics platforms, and smart resume assistants using LLMs, RAG, and prompt engineering. Recognized with multiple hackathon wins and top contributor awards, I thrive on creating impactful, real-world applications.

π¨ Problem Traditional SEO audits are slow (15β30 min), costly ($200β500), and complex, leaving SMBs without affordable solutions. Reports are often too technical, lack prioritization, and rarely integrate competitive insights. π‘ Innovation AI-Powered Engine: Groq LLM with sub-3s insights, confidence scoring (89% accuracy), and NLP-based translation of technical data into plain-language actions. Agent Architecture: Configured SEO agent with web crawling, keyword research, and search intelligence tools, backed by SQLite for history management. Comprehensive Framework: Technical SEO (speed, mobile, meta), content quality (readability, structure, density), competitive benchmarking, and UX metrics (Core Web Vitals). π Tech Stack Backend: Python, Agno AI, Groq LLM Frontend: Streamlit APIs: Firecrawl, Exa, DuckDuckGo Storage: SQLite π Features Real-Time Pipeline: Automated crawling, content parsing, and validation with live progress tracking. Competitive Intelligence: Multi-competitor benchmarking, market gap analysis, and positioning strategies. AI-Enhanced Recommendations: Prioritized by impact/difficulty with confidence scoring and implementation timelines. π Achievements Speed: 2.3s avg analysis (vs. 15β30m industry standard) Accuracy: 89% validated against expert audits Adoption: 150+ DAUs in first month Reliability: 98.7% success, 99.8% uptime Impact: 75% faster audits, 23% SEO score improvement, 4.6/5 user rating
24 Aug 2025