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This project features text classification, FastAPI deployment, Docker containerization, CI/CD automation, and real-time monitoring with MLflow \u0026amp; Grafana. Built for seamless cloud deployment on Azure.  Let me know if you want any tweaks! \n\n## Table of Contents\n- [Features](#features)\n- [Tech Stack](#techstack)\n- [Usage](#usage)\n- [Overview](#overview)\n- [Endpoints](#endpoints)\n- [Contact](#contact)\n  \n## Features\n- Text Preprocessing: Stopword removal, tokenization, TF-IDF/Word Embeddings.\n- ML Model: Trained using Logistic Regression, Naive Bayes, LSTM, or BERT.\n- FastAPI Backend: Exposes a /predict endpoint for sentiment classification.\n- Containerization: Dockerized for scalable deployment.\n- CI/CD Pipeline: Automated deployment using GitHub Actions/Jenkins.\n- Cloud Deployment: Hosted on GCP (Google Cloud Run/Compute Engine).\n- Monitoring \u0026 Logging: Logs API requests with Loguru; tracks model performance with MLflow.\n\n## Tech Stack\n- Backend: FastAPI\n- Machine Learning: Scikit-learn, TensorFlow/Keras, Hugging Face (for BERT)\n- Containerization: Docker\n- Cloud Deployment: GCP (Cloud Run / Compute Engine)\n- CI/CD: GitHub Actions, Jenkins\n- Logging \u0026 Monitoring: Loguru, MLflow\n\n\n## Contact\nFor any questions or inquiries, please contact the project maintainer:\n- Name: Shreya Garg\n- Email: shreyagarg754@gmail.com\n- GitHub: Itsshreyagarg\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fitsshreyagarg%2Fsentify-ml","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fitsshreyagarg%2Fsentify-ml","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fitsshreyagarg%2Fsentify-ml/lists"}