/projects

Find hands-on projects to practice and master your skills.

What is this?

This command provides a curated list of projects across all 7 agents, organized by level and technology.

How to Use

/projects [agent] [level] [optional: technology]

Examples

/projects
/projects frontend beginner
/projects backend intermediate python
/projects mobile advanced flutter
/projects data-ai beginner machine-learning
/projects devops intermediate kubernetes
/projects database advanced postgresql
/projects architecture expert system-design

50+ Hands-On Projects

Frontend & Design Systems (8 projects)

Beginner:

1. Personal Website - HTML, CSS, responsive design
2. Todo App - JavaScript, DOM manipulation
3. Weather App - API integration, Fetch API

Intermediate: 4. Blog Platform - React, routing, state management 5. E-commerce Product Page - React, component composition 6. Portfolio Dashboard - TypeScript, advanced CSS, Tailwind

Advanced: 7. Design System Library - React, Storybook, documentation 8. Full-Stack App - Next.js, API integration, authentication

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Backend & API Development (8 projects)

Beginner:

1. Simple REST API - Node.js/Express, CRUD operations
2. Todo List API - Python/FastAPI, database integration
3. User Authentication - JWT implementation

Intermediate: 4. E-commerce Backend - Products, orders, payments API 5. Blog API - Posts, comments, tagging with GraphQL 6. Social Media API - Users, posts, feed, notifications

Advanced: 7. Microservices System - Multiple services, message queues 8. Real-time Chat API - WebSockets, user presence, rooms

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Mobile Development (8 projects)

Beginner:

1. Counter App - Basic UI, state management
2. Notes App - Local storage, CRUD
3. Weather App - API integration, location services

Intermediate: 4. Todo App - Lists, notifications, local database 5. Fitness Tracker - Sensors, health data, charting 6. Chat App - Real-time messaging, user profiles

Advanced: 7. Social Media App - Feed, notifications, real-time sync 8. Video Streaming App - Playback, caching, offline mode

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Data Science & AI/ML (8 projects)

Beginner:

1. Iris Flower Classification - scikit-learn, classification
2. House Price Prediction - Regression, feature engineering
3. Sentiment Analysis - Text classification, NLP basics

Intermediate: 4. Customer Segmentation - Clustering, K-means 5. Time Series Forecasting - LSTM, historical data 6. Image Classification - CNN, PyTorch, image processing

Advanced: 7. Recommendation System - Collaborative filtering, embeddings 8. LLM Chatbot - RAG system, vector databases, LangChain

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DevOps & Cloud Infrastructure (8 projects)

Beginner:

1. Dockerize Application - Create Dockerfile, build image
2. Docker Compose Setup - Multi-container app, networking
3. AWS EC2 Deployment - Launch instance, configure server

Intermediate: 4. Kubernetes Cluster - Deploy app, services, networking 5. CI/CD Pipeline - GitHub Actions, automated testing 6. Infrastructure as Code - Terraform, AWS resources

Advanced: 7. Multi-cloud Deployment - AWS and GCP, load balancing 8. Monitoring Stack - Prometheus, Grafana, Loki, alerts

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Database & Data Management (6 projects)

Beginner:

1. Relational Database - SQL, tables, relationships
2. NoSQL Database - MongoDB, document design
3. Data Modeling - ER diagrams, normalization

Intermediate: 4. PostgreSQL Optimization - Indexing, query optimization 5. MongoDB Aggregation - Complex pipelines, transformations 6. Redis Cache Layer - Caching strategy, performance

Advanced: 7. Database Replication - High availability, failover

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Software Architecture & Leadership (6 projects)

Beginner:

1. Design Pattern Study - Implement 5+ patterns
2. System Design Basics - Simple architecture design
3. UML Diagramming - Create architecture diagrams

Intermediate: 4. Microservices Design - Design 3-service system 5. System Design Case Study - Design Twitter/Instagram-like 6. Game Architecture - Design game engine structure

Advanced: 7. Netflix-like System Design - Complex distributed system 8. Team Leadership Challenge - Manage virtual project team

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Project Structure

Each project includes:

Project Specification

• Clear requirements
• Functional specifications
• Non-functional requirements
• Scope and constraints

Learning Outcomes

• Skills you'll master
• Technologies to learn
• Concepts to understand
• Best practices to apply

Implementation Guide

• Step-by-step instructions
• Architecture recommendations
• Technology choices explained
• Database design patterns

Code Starter

• Boilerplate code
• Project template
• Configuration files
• Sample data

Testing Requirements

• Test coverage targets
• Unit test examples
• Integration test scenarios
• Performance benchmarks

Deployment Instructions

• Containerization
• CI/CD setup
• Cloud deployment
• Monitoring setup

Extensions & Enhancements

• Additional features
• Performance optimization
• Scaling strategies
• Advanced features

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Project Selection Guide

By Timeline

Weekend Project (8-16 hours)

• Todo App
• Weather App
• Simple API

2-Week Project (20-40 hours)

• Blog Platform
• E-commerce Backend
• Chat App Prototype

1-Month Project (80-120 hours)

• Full-Stack E-commerce
• Mobile App
• Microservices System

3-Month Project (300+ hours)

• Complete Product
• Complex System
• Production Deployment

By Skills

Full-Stack Beginner

• Frontend + Backend Todo App
• Full-Stack with Database

Frontend Specialist

• Design System
• Advanced React App

Backend Specialist

• Microservices Architecture
• GraphQL API

Mobile Developer

• Cross-platform App
• Native Platform App

Data Scientist

• ML Pipeline
• LLM Application

DevOps Engineer

• Kubernetes Cluster
• CI/CD Pipeline

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How to Use Projects

1. Choose a Project

   • Match your level
   • Align with interests
   • Check time requirement

2. Review Specification

   • Understand requirements
   • Plan architecture
   • Identify technologies

3. Follow Implementation Guide

   • Build step-by-step
   • Reference code examples
   • Test thoroughly

4. Deploy & Monitor

   • Set up CI/CD
   • Deploy to cloud
   • Monitor performance

5. Enhance & Learn

   • Add extensions
   • Optimize performance
   • Write documentation

Project Showcase

When you complete a project:

• GitHub Repository - Push your code
• Documentation - Write README and architecture docs
• Live Demo - Deploy for others to see
• Blog Post - Share what you learned
• Portfolio - Add to your professional portfolio

Success Criteria

Each project must have:

• ✓ Working code
• ✓ Tests (unit + integration)
• ✓ Documentation
• ✓ Deployed/runnable
• ✓ Git history
• ✓ Clean code quality

Next Steps

1. Choose Your Level - Beginner, Intermediate, Advanced
2. Pick a Project - Based on interests
3. Use /learn - Study required skills
4. Start Building - Implement the project
5. Deploy - Get it running in production
6. Share - Show your work!

Browse Projects

# All beginner projects
/projects beginner

# Frontend projects at intermediate level
/projects frontend intermediate

# Data science advanced projects
/projects data-ai advanced

# DevOps with Kubernetes
/projects devops kubernetes

# Backend with Python
/projects backend python

Recommended Learning Path

1. Start with 2-3 beginner projects
2. Move to intermediate projects
3. Combine skills with full-stack projects
4. Master advanced architectures
5. Build production-grade systems

Ready to build something awesome? Choose your project!