🚀 19 End-to-End Generative AI Projects

This repository contains 19 real-world Generative AI projects from the Udemy course "19 End-to-End Generative AI Projects."
The projects span Text Generation, Image & Audio AI, Chatbots, Retrieval-Augmented Generation (RAG), Finance AI, and more!

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📌 Project List

📝 Natural Language Processing (NLP)

1. Text Summarizer – Generate concise summaries of long texts.
2. Fine-Tuned Classification – Train a custom classification model.
3. Interview Question Creator – AI-powered interview question generator.
4. Open LLM – Deploy and experiment with open-source LLMs.

🎨 Generative AI for Media (Text, Image & Audio)

5. Text-to-Image Generation (Hugging Face) – Generate images from text.
6. Text-to-Speech Generation (Hugging Face) – Convert text into realistic speech.
7. DALLE Demo – AI-powered image generation using DALL·E.
8. Audio Translation – Translate speech between different languages.

🤖 AI-Powered Chatbots

9. Telegram Chatbot – Build and deploy a smart AI chatbot on Telegram.
10. Custom Chatbot for Any Website – Integrate AI chatbots into websites.
11. End-to-End Medical Chatbot – AI chatbot for medical assistance.
12. LLM-Powered Chatbot – Develop a chatbot using advanced LLMs.

📊 Finance & Source Code AI

13. Financial Stock Analysis (LlamaIndex) – AI-driven financial data insights.
14. Source Code Analysis (Generative AI) – Analyze source code using AI.

🔍 Retrieval-Augmented Generation (RAG)

15. RAG with Gemini AI – Implement RAG using Google's Gemini AI.
16. RAG on Vertex AI – Use Google Vertex AI for retrieval-based AI.
17. End-to-End RAG with Amazon Bedrock – Build RAG solutions using AWS.

⚡ LLM App Development

18. LLM Apps with Chainlit – Create interactive AI apps using Chainlit.

🏥 End-to-End Medical Chatbot

19. End-to-End Medical Chatbot – AI chatbot for healthcare assistance.

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🛠️ Technologies Used

• LLMs & NLP – OpenAI, Hugging Face, Gemini AI, Amazon Bedrock
• Generative AI – Text, Image, and Speech Generation
• Deep Learning & Fine-Tuning – Transformers, RAG, Model Training
• AI Deployment – Google Vertex AI, AWS Bedrock
• Frameworks & Tools – Chainlit, LlamaIndex, OpenLLM

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📂 Project Structure

Each project has its own directory containing:
📜 Code – Jupyter notebooks & scripts
📊 Data – Sample datasets
📝 Docs – Implementation details & insights

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🤝 Contributing

Want to improve or extend the projects? Feel free to fork the repo and submit a pull request (PR)!

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🔥 Let's build powerful Generative AI applications together! 🚀