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HEMANG BHAVASAR
HEMANG BHAVASAR

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SMART PPT AGENT

πŸš€ Excited to share my latest GenAI project: SMART PPT AGENT! πŸ€–

After 5 intensive weeks of coding, debugging, and experimenting, I've built an enterprise-grade AI-powered presentation assistant that's transforming how professionals create presentations. What an incredible learning journey it's been! Here's what makes me passionate about this space:

After months of deep diving into the world of Generative AI, I've built an enterprise-grade AI-powered presentation assistant that's transforming how professionals create presentations. Here's what makes me passionate about this space:

🎯 The Problem I Solved:
Ever spent 3.5 hours converting a dense PDF report into a compelling PowerPoint presentation? I did too, until I built a solution that does it in just 15 minutes!

🧠 What I Built: SMART PPT AGENT - An intelligent system that:

βœ… Converts ANY PDF (even scanned documents) into professional presentations
βœ… Uses Google Gemini 1.5 Flash for advanced content analysis
βœ… Preserves context and meaning while enhancing readability
βœ… Automatically highlights KPIs, financial data, and key metrics
βœ… Supports custom templates for brand consistency
βœ… Includes OCR fallback for image-based documents

πŸ”₯ The Tech Stack:
AI Engine: Google Gemini 1.5 Flash
Frontend: Streamlit for intuitive UI
PDF Processing: PyMuPDF + pdfplumber + Tesseract OCR
Presentation Engine: python-pptx with smart layout selection
Architecture: Multi-stage fallback system for 98%+ success rate

πŸ“Š Real Impact:
Time Savings: 3.5 hours β†’ 15 minutes (95% reduction)
Cost Efficiency: Save $150-$300 per presentation
Accuracy: 95%+ content relevance with AI validation
Versatility: Works across industries - from financial reports to academic papers

πŸŽ“ My GenAI Learning Journey:
This project has been incredible for understanding:
Prompt Engineering: Crafting precise instructions for content analysis
Multi-modal AI: Combining text extraction, image processing, and generation
AI Agent Architecture: Building robust fallback systems and quality validation
Context Preservation: Maintaining semantic meaning across transformations
Production AI: Handling edge cases, error management, and user experience

The GenAI space is evolving rapidly, and I'm thrilled to be building solutions that make AI accessible and practical for everyday business challenges.

Who else is working on AI-powered productivity tools? Would love to connect and share experiences!

Happy to connect for discussion!

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