20 Generative AI Projects to Supercharge Your Resume in 2025

Generative AI: 20 Projects to Boost Your Resume in 2025

The generative AI revolution is transforming industries, and practical experience with cutting-edge GenAI projects is a significant advantage in today's competitive job market. With AI tools increasingly used in resume screening, showcasing your GenAI expertise is crucial. This article presents 20 projects, categorized by skill level (Beginner, Intermediate, Advanced), to help you master GenAI and strengthen your resume. These projects cover a wide range of applications, from building AI assistants and fine-tuning models to developing RAG systems and AI agents.

Table of Contents

• Beginner Level Generative AI Projects
• Intermediate Level Generative AI Projects
• Advanced Level Generative AI Projects
• Conclusion
• Frequently Asked Questions

Beginner Level Generative AI Projects

These projects introduce fundamental AI concepts and require basic programming skills.

1. Image-to-Speech GenAI Tool (GPT-3.5/GPT-4): Transform images into audio short stories using GPT-3.5 (or the enhanced GPT-4), LangChain, and Hugging Face LLMs. This project enhances accessibility and offers a novel way to experience visual content. Key skills: Image analysis, generative AI integration, speech synthesis, Streamlit/Hugging Face deployment. [GitHub Repository Link]

2. GenAI-Powered Career Development Tool: Build a multi-agent system for personalized job search assistance, resume analysis, cover letter generation, and company research. Key skills: NLP, machine learning, multi-agent systems. [GitHub Repository Link]

3. Car Buyer Agent (LangGraph/Alternative): Create an intelligent system using LangGraph (or CrewAI, AutoGen) to recommend vehicles based on user preferences. Key skills: LLM integration, agent-based systems, user preference analysis. [GitHub Repository Link]

4. Personal Voice Assistant (GPT-3.5/GPT-4 & Whisper): Develop a voice assistant using GPT-3.5 (or GPT-4) for natural language understanding, and Whisper for speech-to-text. Key skills: Voice recognition, conversational AI, text-to-speech. [GitHub Repository Link]

5. Data Science AI Assistant (Gemma 2b-it): Build an AI assistant using Google's Gemma 2b-it to explain data science concepts and generate Python code examples. Key skills: LLM integration, code generation. [Kaggle Notebook Link]

Intermediate Level Generative AI Projects

These projects integrate multiple AI models and may involve working with APIs.

6. Video Analyzer (Llama3.2 Vision & Whisper): Create a tool to generate descriptions of video content by combining computer vision (Llama3.2 Vision), audio transcription (Whisper), and NLP. [GitHub Repository Link]

7. Serverless Video Summarization (AWS): Build a serverless video summarization tool using AWS and AI21 Labs Jurassic-2 Ultra, generating PDF reports combining images and text summaries. [GitHub Repository Link]

8. LLM-based Finance Agent: Develop an agent to retrieve financial news and predict stock prices using LLMs and machine learning. [GitHub Repository Link]

9. Azure Text-to-Speech Model with Avatar: Integrate Azure's Text-to-Speech with avatar animation to generate talking avatar videos. [GitHub Repository Link]

10. Adaptive Learning Agent (LangGraph/Alternative): Build a learning agent using LangGraph (or alternative) and the Feynman technique to guide learners through complex concepts. [GitHub Repository Link]

11. AI-Powered Sales Call Analyzer (LangChain & CrewAI): Analyze sales call recordings to extract insights on sentiment, topics, and sales strategies. [GitHub Repository Link]

12. AI Music Composer (LangGraph/Alternative): Create an AI music composer using LangGraph (or alternative) to generate original musical pieces. [GitHub Repository Link]

13. AI-Powered Legal Document Analyzer: Develop a tool to analyze legal documents, extract key clauses, and provide summaries. [GitHub Repository Link]

14. Project Manager Assistant Agent: Build an agent to help project managers organize and manage tasks based on project descriptions. [GitHub Repository Link]

15. RAG System (Llama3, LangChain, ChromaDB): Create a Retrieval Augmented Generation system using Llama3, LangChain, and ChromaDB. [GitHub Repository Link]

Advanced Level Generative AI Projects

These projects are for experienced AI developers and involve more complex techniques.

16. AutoDev: Software Development Agent System: Build an AI-driven framework to automate software development tasks. [GitHub Repository Link]

17. Medical RAG (BioMistral 7B, PubMedBert, Qdrant): Develop a medical RAG application using BioMistral 7B, PubMedBert, and Qdrant. [GitHub Repository Link]

18. AI-Powered End-to-End Unit Testing Agent: Create an agent to automate end-to-end software testing. [GitHub Repository Link]

19. On-device RAG (ObjectBox & LangChain): Develop an on-device RAG application using ObjectBox and LangChain. [GitHub Repository Link]

20. Fine-Tuning Llama 3 (PyTorch FSDP & QLoRA): Fine-tune Llama 3 efficiently using PyTorch FSDP and QLoRA. [GitHub Repository Link]

Conclusion

These projects offer a pathway to mastering generative AI and significantly enhancing your resume. Remember to showcase your work effectively on your resume and LinkedIn profile, highlighting the technologies used and the problems solved.

Frequently Asked Questions

• Q1: Why add GenAI projects to my resume? A: They demonstrate your skills with cutting-edge technology and your ability to solve real-world problems.
• Q2: Do I need prior AI experience? A: No, the projects are categorized by skill level.
• Q3: What tools are needed? A: Primarily Python, LangChain, Hugging Face, OpenAI models, AWS/Azure, PyTorch.
• Q4: How to choose the right project? A: Select a project matching your skill level.
• Q5: Where to find resources? A: The provided GitHub and Kaggle links.
• Q6: How to showcase projects? A: Dedicated "Projects" section on your resume and detailed LinkedIn posts with GitHub links.

(Note: Remember to replace the bracketed "[GitHub Repository Link]" and "[Kaggle Notebook Link]" placeholders with the actual links.)

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