Portfolio Projects
Build real-world AI projects that you can showcase in your portfolio, GitHub, and resume.
Why Projects Matter
- Learn by Doing: Hands-on experience beats passive learning
- Portfolio Building: Demonstrate your skills to employers
- GitHub Contributions: Show your work in public repositories
- Real-world Impact: Solve actual problems with AI
Featured Projects
Beginner Projects
1. MNIST Digit Classifier
Build your first neural network to recognize handwritten digits.
- Skills: PyTorch basics, CNNs, model training
- Duration: 2-3 hours
- GPU Required: Optional
2. Sentiment Analysis on Movie Reviews
Classify movie reviews as positive or negative using NLP.
- Skills: Text processing, RNNs, embeddings
- Duration: 3-4 hours
- GPU Required: Recommended
Intermediate Projects
3. Object Detection with YOLO
Detect and localize objects in images using state-of-the-art models.
- Skills: Computer vision, transfer learning, bounding boxes
- Duration: 4-6 hours
- GPU Required: Yes
4. Text Generation with GPT
Fine-tune a GPT model to generate creative text.
- Skills: Transformers, Hugging Face, fine-tuning
- Duration: 5-7 hours
- GPU Required: Yes
Advanced Projects
5. Custom Chatbot with RAG
Build a retrieval-augmented generation chatbot for your own documents.
- Skills: LLMs, vector databases, prompt engineering
- Duration: 8-10 hours
- GPU Required: Yes
6. Image Generation Web App
Deploy a Stable Diffusion-based image generation application.
- Skills: Diffusion models, FastAPI, Docker, cloud deployment
- Duration: 10-12 hours
- GPU Required: Yes (for training/inference)
Project Structure
Each project includes:
- Problem Statement: Clear definition of what you'll build
- Learning Objectives: Skills you'll gain
- Step-by-Step Tutorial: Guided implementation
- Code Templates: Starter code and solutions
- Deployment Guide: How to showcase your work
- Extension Ideas: Ways to make the project your own
Coming Soon
We're actively developing more projects:
- [ ] Audio classification and speech recognition
- [ ] Time series forecasting with LSTMs
- [ ] Reinforcement learning game agent
- [ ] Multi-modal AI (vision + language)
- [ ] Production ML pipeline with MLOps
Want to contribute? Check out our contribution guidelines.
Showcase Your Work
After completing a project:
- Push to GitHub: Create a public repository
- Write a README: Document your approach and results
- Share Results: Post on LinkedIn, Twitter, or Reddit
- Join Discussions: Share in our community forum