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1. Vehicle-Detection-Tracking-App Vehicle-Detection-Tracking-App Public

   This repository contains a Streamlit web application for vehicle tracking using different SOTA object detection models. The app offers two options: YOLO-NAS with SORT tracking and YOLOv8 with ByteT…

   Python 2 1

2. YOLO-NAS-OCR-WebApp YOLO-NAS-OCR-WebApp Public

   This project uses YOLO-NAS and EasyOCR to detect license plates and perform Optical Character Recognition on them. The project includes both image and video processing capabilities, and has been de…

   Jupyter Notebook 1 1

3. LLM-QnA-CHAT-BOT LLM-QnA-CHAT-BOT Public

   This is a Generative AI powered Question and Answering app that responds to questions about your uploaded file. Here we utilize HuggingFaceEmbeddings and OpenAI gpt-3.5-turbo

   Python 2

4. Sentiment-Analysis-with-DistilBERT Sentiment-Analysis-with-DistilBERT Public

   Here we leverage a subset of the amazon_polarity dataset to train two machine learning models: an LSTM model with GloVe embeddings and a fine-tuned DistilBERT model. The LSTM model achieved an accu…

   Jupyter Notebook

5. Pneumonia-Classification Pneumonia-Classification Public

   Developed and evaluated two models, to detect pneumonia cases from medical images. Our custom resnet18 was evaluated at an 81% accuracy, 66% precision, and 78% recall. Valuable for timely detection…

   Jupyter Notebook

6. Churn-Analysis-and-Prediction Churn-Analysis-and-Prediction Public

   Telecom Churn Analysis: Predicting customer churn using ML. Best model was XGBoost with 81.92% accuracy. SHAP analysis revealed top features. Results and insights visualized in Tableau

   Jupyter Notebook