AI PROJECTS SOURCE CODE
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Welcome to our AI Projects section, where innovation meets intelligence!
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Time Series Analysis with Facebook Prophet Python and Cesium
Forecast healthcare call volumes using Prophet with enhanced features from Cesium. Improve accuracy with statistical features and seasonal patterns.
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.
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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.
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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.