6 Weeks, 6 AI Projects

Welcome to the "6 Weeks, 6 AI Projects" repository! This repository is a curated collection of hands-on projects designed to take you on a journey through various AI topics using Python. Each week, you'll delve into a new area of artificial intelligence, solving three distinct tasks related to a specific area of artificial intelligence. The solutions for all three tasks are available in the form of a single jupyter notebook for each topic. This provides hands-on experience and diverse perspectives on various techniques and applications.

Search Algorithms

Explore fundamental search algorithms and solve classic problems:

Route Planning Problem: Implement search algorithms such as BFS or DFS to find the optimal path from a start point to a destination.
8-Puzzle Problem: Solve the 8-puzzle problem using algorithms like A* search or iterative deepening DFS.
Maze Solver: Develop a maze solver algorithm using search techniques like BFS or DFS to navigate through the maze from the start to the exit point.

Genetic Algorithms

Discover optimization techniques inspired by natural selection:

Travelling Salesman Problem: Tackle the classic Travelling Salesman Problem using algorithms like genetic algorithms.
8-Queens Problem: Solve the 8-Queens Problem using genetic algorithms to place 8 queens on an 8x8 chessboard without attacking each other.
Map Colouring Problem: Implement genetic algorithms to color a map with 4 colors such that no neighboring regions share the same color.

Probabilistic Inference

Dive into reasoning under uncertainty and probabilistic models:

Flower Classification: Develop a machine learning model to classify flowers based on their features.
Medical Diagnosis: Implement a classification model to predict diabetes progression levels from routine medical data using probabilistic inference techniques.
Monty Hall Problem: Analyze the Monty Hall problem using probabilistic inference techniques to determine the chance of winning when switching doors.

Fuzzy Logic

Explore decision-making and fuzzy logic principles:

Tipping Problem: Solve the tipping problem using fuzzy logic principles to recommend the amount of tip in a restaurant based on food quality and service.
Project Risk Assessment: Apply fuzzy logic concepts to assess and mitigate project risks effectively.
Fuzzy Controller for Washing Machines: Develop a fuzzy controller for washing machines to optimize washing parameters based on fuzzy rules.

Natural Language Processing (NLP)

Delve into text analysis and language understanding:

Sentiment Analysis of Movie Reviews: Perform sentiment analysis on movie reviews using natural language processing techniques and machine learning algorithms.
Text Classification of News Groups Messages: Implement text classification algorithms to classify news group messages into different categories.
Topic Modelling using LDA: Utilize Latent Dirichlet Allocation (LDA) algorithm to perform topic modeling on text data and discover underlying themes.

Computer Vision

Explore advanced techniques in image processing and object detection:

Frontal Face Detection: Implement frontal face detection using OpenCV library, particularly utilizing the Haar cascade detector.
Instant Segmentation of Images using R-CNN: Develop instant segmentation of images using Region-based Convolutional Neural Networks (R-CNN).
Object Detection using YOLO: Build an object detection model using You Only Look Once (YOLO) algorithm for detecting objects in images.

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