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1. Sequential-Neural-Networks-for-Sentiment-Analysis-model-deploy Sequential-Neural-Networks-for-Sentiment-Analysis-model-deploy Public

   A sentiment analysis project using RNN, LSTM, and GRU models to classify text. It includes text preprocessing, embedding-based vectorization, and model comparison, with the best model deployed for …

   Jupyter Notebook

2. EcoWaste-AI-Smart-Waste-Classification-Carbon-Footprint-Estimator EcoWaste-AI-Smart-Waste-Classification-Carbon-Footprint-Estimator Public

   EcoWaste AI uses MobileNetV2 to classify waste as organic or recyclable and a RandomForest model to estimate CO₂ savings based on item weight. It helps users make better disposal choices by providi…

   Jupyter Notebook 1

3. YOLOv8_garbage_detection YOLOv8_garbage_detection Public

   A study comparing YOLOv8 Nano at 416×416 and 608×608 for garbage detection. It measures mAP, precision, recall, and speed, showing that higher resolution boosts accuracy while lower resolution runs…

4. SmartFit_AI SmartFit_AI Public

   SmartFit AI uses machine learning to analyze fitness and health data, predict calorie burn, BMI, and body fat, and group users into fitness archetypes. It combines PCA, K-Means, and neural networks…

   Python

5. RippleWorks RippleWorks Public

   A machine learning system that predicts Water Quality Index (WQI) and Water Quality Classification (WQC) using engineered water-quality features. The project includes full preprocessing with missin…

   Jupyter Notebook

6. Hybrid_Generative_Adversarial_Neural_Network_and_Copula_DataSynthesizer Hybrid_Generative_Adversarial_Neural_Network_and_Copula_DataSynthesizer Public

   A Streamlit app that preprocesses your dataset and generates high-quality synthetic data using Gaussian Copula and CTGAN models, with built-in evaluation and easy CSV export.

   Python