Step 6: Build a Portfolio Project
Step 6: Build a Portfolio Project
The final step is to build something original. This proves you can handle real-world data and solve complex problems from start to finish.
🏗️ Project Idea 1: The Personal RAG Assistant
Build a local chatbot that allows you to upload your own resumes or study notes and ask questions about them.
- Tech Stack: Streamlit (UI), LangChain, ChromaDB (Vector DB), Ollama (Local LLM).
🏗️ Project Idea 2: Sentiment Analysis Dashboard
Fetch real-time tweets or Reddit comments about a specific product and visualize the public mood.
- Tech Stack: Python,
praw(Reddit API), Scikit-Learn (Classification), Matplotlib.
🏗️ Project Idea 3: Image Classification for a Hobby
Build a model that can identify different species of birds, types of cars, or brands of shoes.
- Tech Stack: PyTorch, Fast.ai, Google Colab.
📈 The Professional Checklist
To make your project stand out to employers:
- GitHub Repository: Clean code with a detailed
README.md. - Exploratory Data Analysis (EDA): Show that you understand the data before modeling.
- Evaluation: Use clear metrics (Precision, Recall, F1-Score) to show how well your model works.
- Deployment: Host your project on Hugging Face Spaces or Streamlit Cloud.
🎯 Congratulations!
You have completed the beginner roadmap. You are now ready to dive into the Advanced AI Roadmap.