AI PROJECTS SOURCE CODE

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Welcome to our AI Projects section, where innovation meets intelligence!

Human Action Recognition Using Image Preprocessing

Learn how to classify human actions from images using deep learning models like ResNet50 and InceptionV3 for security, healthcare and smart home applications.

Build ARCH and GARCH Models in Time Series using Python

This project forecasts stock market volatility using ARCH and GARCH models, helping traders and investors predict market changes and manage financial risks effectively.

PyTorch Project to Build a GAN Model on MNIST Dataset

Analyze Vanilla GAN vs. WGAN for MNIST image generation, using FID and Inception Score to evaluate and compare the quality of generated images.

Multi-Modal Retrieval-Augmented Generation (RAG) with Text and Image Processing

Use Multimodal RAG to extract, summarize, and analyze research papers! AI-powered image & text processing with GPT-4o for advanced academic insights.

Build A Book Recommender System With TF-IDF And Clustering(Python)

Create a book recommendation system with machine learning using TF-IDF, KMeans clustering, and cosine similarity for accurate, data-driven suggestions

Build Multi-Class Text Classification Models with RNN and LSTM

Multi-class text classification using RNN and LSTM for analyzing customer complaints, and providing real-world business insights and solutions.

Time Series Forecasting with ARIMA and SARIMAX Models in Python

Build and assess time series forecasting models such as ARIMA, ARIMAX, and SARIMAX using real-world data from sectors like Healthcare and Banking for precise predictions.

Build an Autoregressive and Moving Average Time Series Model

Clean and analyze IoT sensor data by building and evaluating MA and AR models, using RMSE and visualizations to determine the best forecasting model.

Time Series Forecasting Using Multiple Linear Regression Model

Understand time series forecasting with Linear Regression, ARIMA, and anomaly detection. Learn feature engineering, trend analysis, and model evaluation effectively.

Build a Hybrid Recommender System in Python using LightFM

Develop a hybrid recommendation system using collaborative and content-based filtering with LightFM for personalized product recommendations based on customer behavior.

Time Series Analysis and Prediction of Healthcare Trends Using Gaussian Process Regression

Predict Healthcare trends using Gaussian Process Regression. Understand preprocessing, modeling, and evaluation techniques for precise time-series forecasting results.

Sentiment Analysis for Mental Health Using NLP & ML

Classify mental health statements using NLP and ML techniques. Includes preprocessing, TF-IDF, XGBoost, Random Over-Sampling, and real-world prediction applications.

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