Your trusted resource for downloadable source code, complete capstone projects with ER diagrams and Chapter 1-5 documentation, AI-ready capstones (RAG, ChatGPT, computer vision), and step-by-step tutorials in PHP, Python, Java, JavaScript, and more. Built by working developers, tested before publishing, and updated for 2026.
📅 Updated weekly | ✅ Code tested before publishing | 👨💻 Built by PIES IT Solutions developers
The fastest-growing capstone category in 2026. Capstones that panels approve faster, AI agents, RAG, real-time computer vision. Build the kind of capstone employers actually look for on resumes.
Free AI capstones with full source code, RAG document Q&A, ChatGPT API apps, local LLMs, computer vision, NLP. The umbrella hub for modern AI capstones.
46 Python computer vision capstones, face detection, hand tracking, pose estimation, document scanning. Real-time on CPU, no GPU required.
23 algorithm-level ML capstones, CNN, classification, recommendation systems, computer vision foundations.
Working source code, ER diagrams, and step-by-step setup for the languages BSIT panels recognize. Every project tested before publishing.
319 free PHP + MySQL capstones, school, hotel, hospital, e-commerce, inventory, payroll. Each includes ERD and setup instructions.
296 Visual Basic .NET Windows Forms capstones, the dominant Philippine BSIT panel stack. Hotel, POS, Hospital, Payroll, Inventory.
250 Python capstones, Tkinter desktop, Django web, Pygame games, OpenCV vision, ML and AI integration.
127 Java capstones, NetBeans + MySQL desktop applications. Hotel, Library, Hospital, POS, ATM, School systems.
111 Django web management systems, modern Python full-stack capstones. School, e-commerce, hospital, banking, transport.
74 Laravel PHP MVC capstones, School, E-commerce, Hospital, POS, Inventory, Banking. Modern PHP for production-quality defense.
58 C# + SQL Server Windows Forms projects and reference snippets, DataGridView, ListView, ComboBox patterns plus management systems.
55 vanilla JavaScript, Vue.js, and Node.js projects, browser games, calculators, CRUD demos, Vue SPAs.
The Chapter 1-5 documentation, UML diagrams, database designs, and foundation language resources every BSIT student needs to pass capstone defense.
302 free ER, DFD, Use Case, Class, Activity, Sequence, Component, and Deployment diagrams for capstone Chapter 3.
145 capstone idea lists and Chapter 1-5 thesis documentation templates for BSIT, BSCS, and engineering students.
35 ER diagrams and SQL schemas, Hospital, Library, POS, Inventory, Salon, Clinic, Restaurant, Resort.
132 foundational C and C++ mini-projects, console games, mini management systems, OOP patterns. Perfect for 1st-2nd year coursework.
Learn the language first, then ship a capstone. Free tutorials with working examples.
599 JavaScript and Node.js language tutorials, syntax, features, frameworks, debugging.
150+ Python tutorials covering OOP, file I/O, web scraping, async, and library usage (pandas, numpy, matplotlib).
Modern TypeScript tutorials covering types, generics, and integration with React/Node.
Beginner-to-intermediate PHP tutorials with practical examples for capstone use.
The most comprehensive Python & JavaScript error reference on the open web. 10 cross-linked hubs covering TypeError, ModuleNotFoundError, AttributeError, ValueError, ImportError, NameError, RuntimeError, SyntaxError, ReferenceError, and HTTP errors. Each post explains the root cause and gives 2-4 alternative fixes.
220+ Python & JavaScript TypeError fixes, NoneType, not callable, cannot read property.
198+ Python import error fixes, pip install, virtualenv, TensorFlow, PyTorch, Flask, Django.
173+ "object has no attribute X" fixes, NoneType, pandas, NumPy, sklearn, Selenium.
100+ pandas, NumPy, sklearn, TensorFlow ValueError fixes.
67+ "cannot import name X from Y" version-conflict fixes, Flask, Werkzeug, ML libraries.
49+ Python "name X is not defined" fixes, numpy, pandas, Jupyter, Python 2→3 migration.
49+ PyTorch CUDA, asyncio, Flask context, mutation-during-iteration fixes.
48+ Python & JavaScript parsing errors, EOF, EOL, unexpected token, import.meta.
34+ JavaScript "X is not defined" fixes, Node ESM, SSR, React, browser globals.
35+ HTTP 4xx and 5xx status code explanations, 403, 404, 429, 500, 502, 504.
20+ Python KeyError fixes, dict missing keys, pandas, JSON API responses, environment variables.
30+ Python IndexError fixes, list out of range, tuple, string slicing, list comprehension, re.findall.
Three open-source model families dominate the serious self-hosted LLM space in 2026: Meta’s Llama 3, Mistral’s family (Mistral, Mixtral, Codestral), and Alibaba’s Qwen 3. All three ship permissive licenses, strong …
Running an LLM locally used to mean wrangling CUDA, downloading 50GB of weights, and praying your Python environment did not break overnight. In 2026 Ollama has made this a two-command …
Fine-tuning OpenAI models used to be exotic. In 2026 it has become a standard part of the production AI stack when prompt engineering runs out of runway. This guide walks …
This tutorial walks you through building your first AI chatbot with the Anthropic Claude SDK. By the end you will have a command-line chatbot that uses Claude Sonnet 5.5, remembers …
This tutorial walks you through using the ChatGPT API in Python from scratch. By the end you will know how to send prompts, stream responses, handle conversation history, control the …
This tutorial walks you through your first LangChain project in Python. By the end you will have a working command-line assistant that uses an LLM, remembers the conversation, and shows …
You have a working AI prototype. Now it needs to live on the internet. The two most common serverless deployment targets for AI applications in 2026 are Vercel and AWS …
Tool use is how LLMs stop being chat toys and start being useful parts of a real application. Both OpenAI and Anthropic ship mature tool-calling APIs in 2026, but they …
Prompt engineering stopped being folklore in 2026 and became a discipline with repeatable patterns. If you build with LLM APIs regularly, there are maybe fifteen patterns worth knowing, and this …
CrewAI is the fastest way to build multi-agent systems in Python in 2026. Instead of orchestrating LLM calls by hand, you define each agent’s role, goal, and tools, then let …
This tutorial walks you through building your first AI agent with LangGraph. By the end, you will have a Python program that takes a user question, decides whether it needs …
AI agents moved from research toy to production feature in 2026. Three frameworks dominate the Python agent space: LangChain (via LangGraph), AutoGPT, and CrewAI. All three let you compose multiple …
Semantic search is the capability behind every modern “find anything in your data” product in 2026, from Notion AI’s workspace search to GitHub Copilot’s code lookup to the internal support …