Personal Projects Repository

Welcome to my personal projects repository! This repository is a collection of my projects and experiments with Python programming, Artificial Intelligence (AI), and Machine Learning (ML). It is organized into two main sections:

1. AI/ML Projects
2. Python Programming Tasks

Repository Structure

1. AI/ML Projects

This folder contains various AI/ML projects, tutorials, and experiments. The projects are further categorized into subfolders based on the type of task or focus area:

1.1. Computer Vision

• Drowsiness Detection Tutorial.ipynb: A tutorial project to detect driver drowsiness using computer vision techniques.
• OCR_Basics_EasyOCR.ipynb: Basics of Optical Character Recognition (OCR) using EasyOCR.
• torchnn.py: Implementation of neural networks using PyTorch.

1.2. EDA (Data Analysis)

• Basic analysis on open accident data.ipynb: An exploratory data analysis project on open accident datasets.
• Data Analysis V1.ipynb: A beginner's guide to data analysis using Python.
• Data Analysis.ipynb: Advanced techniques in analyzing large datasets.

1.3. LLM (Language Models)

• chatbot_cohere.ipynb: Developing a chatbot using Cohere's NLP platform.
• Text_generation_Cohere.ipynb: Text generation experiments using Cohere's APIs.

1.4. NLP (Natural Language Processing)

• bertEHR.ipynb: Exploring BERT for electronic health record analysis.
• Construction contract review using AI.ipynb: Using AI for reviewing construction contracts.
• MNIST_Reconstruction_HB.ipynb: Reconstructing MNIST dataset using advanced AI techniques.
• panc_report.ipynb: Automating report generation for pancreatic datasets.
• Sentiment.ipynb: Sentiment analysis using NLP tools and libraries.

1.5. Supervised ML (Machine Learning)

• AirPollutionMultivariate.ipynb: Multivariate analysis for air pollution prediction.
• Crop production prediction code.ipynb: Machine learning to predict crop production.
• EarthSense-API-Regression-Automation.ipynb: Automating regression using EarthSense API.
• Feature_selection.ipynb: Techniques for feature selection in ML models.
• House_price_pred_RF_MIflow.ipynb: House price prediction using Random Forest with MLflow.
• Tensorflow_in_10.ipynb: A beginner's guide to TensorFlow in 10 minutes.
• Weather_prediction_(LSTM).ipynb: Weather prediction using LSTM models.

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2. Python Programming Tasks

This folder contains Python scripts and notebooks focused on basic programming tasks and software development.

• calculator.py: A simple calculator application in Python.
• musiclayer.py: A Python program for playing and managing music.
• QR.py: A Python script to generate QR codes.
• shirt_exercise.ipynb: A fun exercise to practice Python programming.
• speechtotext.py: A Python program to convert speech to text.

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Getting Started

1. Clone the repository:

   git clone https://github.com/<your-username>/Personal-Projects.git
   cd Personal-Projects
   
   

Contributions

This repository is primarily for personal learning and experimentation, but feedback, suggestions, and ideas for improvement are always welcome!