🚀 DecodeLabs Tasks

This repository contains my completed assignments and projects developed as part of the DecodeLabs AI/ML Program. Each project focuses on applying different concepts of Artificial Intelligence, Machine Learning, and Python programming through practical implementations.

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📂 Repository Structure

Project	Description	Technologies
🤖 Project 1 - Rule-Based AI Chatbot	A simple chatbot that responds using predefined rules and logical conditions.	Python
🌸 Project 2 - Iris Flower Classification (KNN)	Machine Learning model that classifies Iris flowers using the K-Nearest Neighbors algorithm.	Python, Scikit-learn, NumPy, Pandas
💻 Project 3 - Tech Stack Recommender	Recommends suitable technology stacks based on user requirements using rule-based logic.	Python
🖼️ Project 4 - Image Text Recognition	Optical Character Recognition (OCR) application for extracting text from images.	Python, OCR Libraries

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🛠️ Technologies Used

• Python
• NumPy
• Pandas
• Scikit-learn
• OCR Libraries (where applicable)
• Git & GitHub

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📁 Folder Structure

decodelabs_tasks/
│
├── project-1-rule-based-ai-chatbot/
├── project-2-iris-flower-classification-knn/
├── project-3-tech-stack-recommender/
├── project-4-image-text-recognition/
└── README.md

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🎯 Learning Objectives

Throughout these projects, I gained hands-on experience with:

• Python Programming
• Machine Learning Fundamentals
• K-Nearest Neighbors (KNN)
• Rule-Based AI Systems
• Image Processing & OCR
• Problem Solving
• Version Control using Git & GitHub

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🚀 Getting Started

Clone the repository

git clone https://github.com/ParthAhuja14/decodelabs_tasks.git

Navigate into the repository

cd decodelabs_tasks

Open any project folder and follow its instructions (if available).

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📌 About

This repository serves as a collection of practical AI & Machine Learning assignments completed during the DecodeLabs program. The goal is to strengthen fundamental concepts through hands-on implementation and maintain a structured portfolio of learning projects.

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👨‍💻 Author

Parth Ahuja

🎓 B.Tech Computer Science & Technology (MAIT)

🔗 GitHub: https://github.com/ParthAhuja14

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⭐ Support

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