From Zero to Building 100 Applications — A shopkeeper photographs a receipt and her phone files it under “stock”. A clinic’s schedule fills itself without two doctors in the same room.

Overview

The hundred chapters are grouped in ten parts of ten: classic AI that thinks by searching and reasoning; learning from data; language; neural networks; vision; recommenders and search; time series and anomalies; agents and reinforcement learning; local language models and generative apps; and turning a notebook into a product. Each chapter opens with the real-life use of its application, builds it step by step, runs it on real or realistic data, improves it, and ends with how to use it for real on your own data, common mistakes, a summary, and exercises with complete solutions.

Everything runs offline on an ordinary laptop. The data the programs use ships with them, and the language-model chapters work with a local model through Ollama — no paid service and no data leaving your computer. Every program was run before its output was printed; the code is collected chapter by chapter in the accompanying Code folder, with a README in every chapter folder that explains how to run it in a terminal and in VS Code on Windows, macOS and Linux.

Inside the Book

1. Your Workbench and a Number-Guessing AI
2. A Smart Expense Categorizer for Bank and E-Wallet Statements
3. A Warehouse Picking-Route Optimizer: BFS, DFS and A*
4. A Meal Planner on a Budget and a Nutrition Target
5. A Timetable Scheduler for a School or a Clinic: Constraint Satisfaction
6. A Customer-Service Chatbot for a Small Business: Intents, Rules and a Human in the Loop
7. A Rule-Based Expert System: The Laundry-Stain Advisor
8. A Route Planner for Surabaya: Dijkstra and A* on a City Graph
9. A Genetic Algorithm Scheduler
10. A Fuzzy-Logic Controller for a Fan
11. House-Price Predictor: Linear Regression from Scratch and with scikit-learn
12. Spam Filter: Logistic Regression
13. Iris Flower Classifier: k-Nearest Neighbors
14. Loan Approval Advisor: An Explainable Decision Tree
15. Sentiment Analyzer: Naive Bayes in Indonesian and English
16. Customer Segmentation: k-Means on Laundry Data
17. Data Explorer with Principal Component Analysis
18. Handwritten Digit Recognizer: Support Vector Machines
19. Churn Predictor: Random Forests and Gradient Boosting
20. Model Evaluation Dashboard: Metrics, ROC and Cross-Validation
21. Tokenizer and Word Counter
22. Spell Checker
23. Keyword Extractor (TF-IDF)
24. Extractive Summarizer
25. News Topic Classifier
26. Language Detector
27. Smart-Reply Suggestions for Business Chats
28. Named-Entity Finder
29. FAQ Answer Bot (BM25)
30. Plagiarism Checker
31. Perceptron from Scratch
32. Multilayer Network in NumPy
33. Digit Recognizer in PyTorch
34. Autoencoder That Compresses and Denoises
35. Convolutional Network for Images
36. Next-Word Prediction for a Phone Keyboard
37. Word Embeddings Trained from Scratch
38. Attention, Visualized
39. A Tiny Transformer Language Model
40. Privacy-Preserving Synthetic Data with a GAN
41. Image Filters (Convolution by Hand)
42. Edge and Corner Detector
43. Color Palette Extractor (k-means)
44. Product-Defect Inspection on a Production Line
45. Simple OCR for Printed Digits
46. Object Counter (Connected Components)
47. Image Similarity Search (Embeddings)
48. Background Remover (Thresholding, GrabCut-Free)
49. Data Augmentation Lab
50. Transfer Learning with a Small CNN (Offline)
51. A Film Recommender That Reads the Catalog (Content-Based Filtering)
52. People Like You Also Enjoyed: Collaborative Filtering
53. Hidden Tastes: A Matrix Factorization Recommender
54. Searching by Meaning: A Semantic Search Engine for a Help Center
55. Product Search with Ranking: Retrieval, Features and Learning to Rank
56. Customers Also Bought: Association Rules with Apriori
57. A Music Playlist Generator: Similarity, Smooth Transitions and an Energy Arc
58. Personalizing a News Page with Bandits
59. Have We Answered This Before? A Duplicate-Question Detector
60. Autocomplete: A Trie, a Language Model and a Search Box That Finishes Your Sentence
61. Sales Forecaster: Moving Averages and Exponential Smoothing
62. Laundry Demand Forecaster: Seasonality and Holidays
63. ARIMA from First Principles
64. Anomaly Detector for Transactions: z-Scores and Isolation Forests
65. Sensor Fault Detector
66. Energy-Use Predictor
67. Queue-Time Estimator
68. Price Simulator: Monte Carlo
69. Event Detector in a Stream
70. Forecast Evaluation and Backtesting
71. An A/B Tester That Learns While It Tests (Multi-Armed Bandits)
72. A Robot That Learns Its Way Across the Laundry Room (Q-Learning in a Grid World)
73. Balancing a Pole on a Cart (CartPole with a Policy Gradient)
74. An Energy-Saving Air-Conditioner Agent
75. Dynamic Pricing for a Small Shop, with Guardrails
76. An Inventory Reorder Agent for Laundry Supplies
77. A Delivery-Route Agent (Traveling Salesman Heuristics)
78. A Trading-Bot Simulator (Paper Trading, Backtests and the Trap of Luck)
79. A Multi-Agent Traffic Simulation (Cellular Automata and Adaptive Signals)
80. A Planning Agent (STRIPS, Heuristic Search and Replanning)
81. Talking to a Local LLM
82. Chat App with Memory
83. Prompt Engineering Lab
84. Retrieval-Augmented Generation over Your Notes
85. Document Summarizer and Translator
86. Structured Output and JSON Extraction
87. Tool-Using Agent
88. Code Explainer and Reviewer
89. LLM Evaluation Harness
90. Guardrails and Safety Filters
91. Serving a Model with FastAPI
92. A Web Front End for Your AI (Flask + HTML)
93. A Streamlit Dashboard
94. A Gradio Demo App
95. Command-Line AI Tool and Packaging (pyproject)
96. Testing ML Code
97. Experiment Tracking and Reproducibility
98. Model Monitoring and Drift Detection
99. Privacy, Fairness and Responsible AI in Practice (UU PDP)
100. Capstone: An AI Assistant for Profitina Laundry