AI Projects

This repository contains a collection of artificial intelligence and machine learning projects, implemented using Python, Jupyter Notebooks, and frameworks like Scikit-learn, TensorFlow, and Gradio. Each project showcases a different AI concept, from regression to recommendation systems, NLP, and deep learning.

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Project List

1. Natural Language Processing (NLP) Projects

• AI_API_Summarize_Text
  • Uses an external AI API to generate concise summaries from long input texts
  • Demonstrates the power of NLP and text understanding
• PDF_Chatbot
  • Interactive chatbot that can answer questions about PDF documents
  • Uses advanced NLP techniques for document understanding
• Translator
  • Translates text between multiple languages
  • Implements modern translation techniques for accurate language conversion

2. Deep Learning Projects

• ANN (Artificial Neural Network)
  • Predicts numeric output from three inputs using a simple ANN built with TensorFlow
  • Interactive Gradio interface for real-time predictions
• CNN (Convolutional Neural Network)
  • Builds a CNN for image classification tasks
  • Focuses on deep learning techniques for computer vision
• Stock_Prediction - RNN - LSTM
  • Implements LSTM-based model to forecast stock prices
  • Demonstrates time-series prediction using deep learning

3. Generative AI Projects

• Text_To_Image
  • Converts textual descriptions into generated images
  • Showcases state-of-the-art text-to-image generation
• Text_To_Video
  • Transforms text descriptions into video content
  • Demonstrates advanced multimedia generation capabilities

4. House Price Analysis Projects

• House_Prediction_Gradio_Linear_Reg
  • Predicts house prices using linear regression
  • Includes a Gradio UI for real-time predictions
• House_Predication_Gradio_Logistic_Reg_dataset
  • Implements logistic regression to predict house affordability
  • Wrapped with a Gradio interface for simple user interaction
• House_Predication_Gradio_Logistic_Reg_synthetic_data
  • Uses synthetic data for housing price prediction
  • Perfect for understanding regression algorithms
• K_Means_Cluster_Gradio (House Predication)
  • Uses K-Means clustering to analyze housing data patterns
  • Integrated with Gradio for interactive exploration
• Random_Forest_housing
  • Applies Random Forest algorithm for housing price prediction
  • Highlights benefits of ensemble learning

5. LangChain and RAG Projects

• LangChain
  • Demonstrates use of the LangChain framework for chaining LLM-based tools
  • Useful for building advanced NLP workflows and agents
• RAG_Medical_Chatbot_PubMed
  • Implements a medical chatbot using Retrieval Augmented Generation
  • Utilizes PubMed data for accurate medical information retrieval
• RAG_MultiModal
  • Showcases multimodal RAG capabilities for handling different types of data
  • Combines text, images, and other data types for enhanced AI interactions
• RAG_Youtube_Summary_LangChain
  • Creates summaries of YouTube videos using LangChain and RAG
  • Extracts key information from video content automatically

6. Recommendation Systems

• Movie_Recommendation_Hierarchical_Gradio
  • Creates a movie recommendation system using hierarchical clustering
  • Offers an interactive Gradio-based frontend
• Music_Recommender_K-Nearest
  • Recommends music using K-Nearest Neighbors algorithm
  • Analyzes user preferences and song features for personalized recommendations

7. Classification Projects

• Titanic_Survival_Decision_Tree_DataSet
  • Uses decision trees to predict survival outcomes for Titanic passengers
  • Classic classification problem with clean visualization