RAG Enhanced Presentation Platform (REPP) is an AI-powered web application designed to streamline the creation and delivery of academic and professional presentations.

This platform was developed by Syed Faizan, under the guidance of Prof. Dr. Jay Qi for United Way Greater Toronto, an NGO that focuses on poverty alleviation in the GTA.

💡 REPP integrates:

• Retrieval-Augmented Generation (RAG) using OpenAI’s GPT-3.5-Turbo API 🔥
• Vector Database FAISS for efficient document retrieval 🗄️
• Customizable Presentations with dynamic dashboards & datasets 📊
• Interactive Query Assistant for real-time AI-supported insights 🤖

✔️ Create AI-driven presentations with personalized styles and content
✔️ Supports CSV, Power BI, Tableau, and Google Slides integration
✔️ Interactive Dashboards & Customizable Sections

✔️ Upload PDFs and query documents using OpenAI-powered RAG
✔️ Supports real-time AI-assisted text generation
✔️ Semantic search using FAISS vector storage

✔️ Generates concise, insightful reports
✔️ Uses Stanford SQuAD dataset for performance evaluation
✔️ Supports BLEU scores & semantic similarity metrics

• Upload PDFs, datasets (CSV, Excel), dashboards (Power BI, Tableau), or presentations (PPT, Google Slides)

• REPP analyzes & extracts insights from uploaded documents using FAISS + OpenAI embeddings

• AI dynamically formats and presents data
• Users can customize styles, layouts, and fonts

• Embed Google Slides
• Integrate dashboards & datasets seamlessly

📱 Mobile app development for Android & iOS
☁️ Cloud integration with AWS, Google Cloud
🎨 More advanced personalization for UI & AI responses

git clone https://github.com/SYEDFAIZAN1987/REPP.git
cd REPP

pip install -r requirements.txt

Create a .env file and add the following API key:

OPENAI_API_KEY=your_openai_api_key

streamlit run app.py

Special thanks to Prof. Dr. Jay Qi for his guidance and United Way Greater Toronto for their sponsorship.

🔖 This project is licensed under MIT License. Feel free to contribute!