6 Gen AI Projects From RAG to Agents That Get You Hired скачать в хорошем качестве

6 Gen AI Projects From RAG to Agents That Get You Hired

6 Industry Ready Gen AI use cases that help you to Land Your Dream Job in Data Science 2025. Its consist of projects from RAG, AI Agents and NLP to stand out in data science interviews . It span across multiple domains and showcase modern AI development skills that employers are actively seeking. If you are struggling to stand out in the competitive AI job market then this is for you. 📂 Resources: 🔗 Complete Source Code: https://github.com/Sumit-Kumar-Dash/T... 🔗 Official 2025 Data Scientist Roadmap:    • Data Science Roadmap | Projects & Career G...   🔗 Crack Any Data Science Interview:    • Плейлист   🔗 Master Generative AI 2025 Complete Guide:    • Generative AI Full Course: Master LLM, RAG...   💼 LinkedIn:   / sumit-kumar-dash-315378140   🎯 What You'll Learn: Agentic AI Projects: Talent Acquisition Agent - Build an autonomous AI system that handles complete recruitment workflows, from resume screening to interview scheduling and pre -screening assessments Travel Planner Agent - Create a multi -agent system that provides end -to -end personalized travel experiences with research, booking, and itinerary planning capabilities RAG-Based Projects: Customer Support Chatbot - Develop a 24/7 intelligent support system that handles repetitive queries across any industry with escalation management Automotive Troubleshooting Guide - Build a specialized RAG system for automotive technicians with step-by-step diagnostic guidance Specialized NLP Projects: E-commerce Reviews Sentiment Analysis - Master web scraping , fake review detection, and multi-class sentiment classification at scale Contract Analysis & NER System - Extract and classify entities from legal documents with OCR integration and risk assessment 🛠️ Technical Stack Covered: Frameworks: LangChain, LangGraph, AutoGen, LlamaIndex Models: GPT-4, Llama, Hugging Face Models, Whisper Databases: PostgreSQL, Vector Databases (Chroma, Pinecone, Qdrant) Tools: FastAPI, Streamlit, Gradio, Sentence Transformers, Tesseract OCR Skills: Web Scraping, Multi-Agent Systems, Prompt Engineering, Fine-tuning 💡 Why These Projects? Each project is strategically designed to address genuine industry pain points while showcasing different aspects of modern AI development. Unlike generic AI projects, these focus on: Solving real business problems Demonstrating industry-specific knowledge Showcasing advanced AI architectures Building end-to-end applications with proper dashboards 🎯 Career Impact: Stand out from candidates with generic projects Demonstrate business acumen alongside technical skills Build a portfolio that directly addresses industry needs Gain expertise in high-demand areas like Agentic AI and RAG systems *💬 Engagement:* Drop a comment with your preferred project or tag me on LinkedIn when you build any of these projects for maximum reach! 👍 SMASH that LIKE button if this helped you! 🔔 SUBSCRIBE for more AI career content! 💬 COMMENT which project you'll build first! ⏰ Timestamps: 00:00 - Why These Projects 02:00 - Project 1 10:40 - Project 2 18:20 - Project 3 23:30 - Project 4 26:20 - Project 5 30:30 - Project 6 34:25 - Career Impact & Next Steps Remember: The goal isn't just building projects—it's solving real business problems that matter to the industry. Start with one project, build incrementally, and document your progress. Your future AI career starts here! #generativeai #aiprojects #datascience #chatbot #aiagents #rag #nlp