Pinned Repositories
AG_News_Classification
End-to-end MLOps pipeline for AG News Classification using transformer models like RoBERTa, achieving 94.53% accuracy. Features FastAPI backend, Redis-Celery for task handling, AWS EC2 for deployment, CircleCI for CI/CD, and a user-friendly frontend for real-time predictions.
AI_Agents_Tutorial
Augmentor
Automated_MCQ_Generator
Bank-Management-System-
Chest-Disease-Classification-Final-Version
An MLOps-powered pipeline for chest disease classification from CT scans using ResNet50, achieving 89.52% accuracy. Includes data versioning with DVC, experiment tracking with MLflow, automated model evaluation, and scalable deployment via Flask API and Docker.
E-Commerce_ChatBot
An advanced E-commerce chatbot using RAG, LLaMA 3.1-8B, and LangChain, deployed on AWS EC2. Features history-aware chat, product recommendations using HuggingFace embeddings stored in AstraDB, and efficient response handling with Redis-Celery. Responsive web interface for a seamless user experience.
Industry_Safety_Detection_Using_YOLOv8
An MLOps pipeline for real-time industrial safety detection using YOLOv8, achieving 88.90% mAP_50 accuracy. Automates data ingestion, validation, and evaluation with MLflow, and integrates CI/CD for deployment on AWS using Docker, ensuring scalability, efficient updates, and robust safety compliance.
Interview_Question_Creator
AI-powered tool for generating domain-specific interview questions and answers from PDFs. Leverages Mistral LLM via LangChain, FAISS for embeddings, Redis/Celery for async tasks, and FastAPI backend. Deploys on AWS EC2 for scalability, providing tailored questions across technical, theoretical, and behavioral domains.
phishing-classifier
A machine learning-powered phishing URL detection system built with Python and Flask, featuring MLOps practices for automated training, evaluation, and deployment to ensure scalability and reliability in combating cyber threats.
jatin-12-2002's Repositories
jatin-12-2002/AI_Agents_Tutorial
jatin-12-2002/Interview_Question_Creator_Project
jatin-12-2002/Ollama_Tutorial
jatin-12-2002/Text_To_SQL_Chainlit
jatin-12-2002/Chainlit_With_RAG
jatin-12-2002/Chainlit_Tutorial
jatin-12-2002/Telegram_Bot
jatin-12-2002/Medical_ChatBot
jatin-12-2002/E-Commerce_ChatBot_Project
jatin-12-2002/Automated_MCQ_Generator
jatin-12-2002/Information_Retrieval_System
jatin-12-2002/Source_Code_Analysis
jatin-12-2002/LLM_ON_CPU
jatin-12-2002/NLP_OLD_Material
jatin-12-2002/Chest-Disease-Classification-Final-Version
An MLOps-powered pipeline for chest disease classification from CT scans using ResNet50, achieving 89.52% accuracy. Includes data versioning with DVC, experiment tracking with MLflow, automated model evaluation, and scalable deployment via Flask API and Docker.
jatin-12-2002/Chest-Disease-Classification-Small-Version
jatin-12-2002/Chest-Disease-Classification-from-Chest-CT-Scan-Image
jatin-12-2002/GANs
jatin-12-2002/Car-Number-Plate-Detection
jatin-12-2002/Face-Recognition-Project
jatin-12-2002/DeepSort-Tutorial
jatin-12-2002/DeepSort-with-yoloV5-
jatin-12-2002/Augmentor
jatin-12-2002/Shredder-System
jatin-12-2002/Cards-Detector
jatin-12-2002/Sign-Language-Generation-From-Video-using-YOLOV5
jatin-12-2002/deepCNNClassifier
jatin-12-2002/DVC_DEMO
jatin-12-2002/DL_DVC_Template
jatin-12-2002/phishing-classifier
A machine learning-powered phishing URL detection system built with Python and Flask, featuring MLOps practices for automated training, evaluation, and deployment to ensure scalability and reliability in combating cyber threats.