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Bank Loan Insights is an interactive analytics project built using Power BI and real-world loan data. The dashboard and accompanying reports offer clear visualizations of key insights in loan trend…
Building a Modern Data Pipeline with Workflow Orchestration to Generate High-Quality Data for Analytics and ML Applications.
SiddiquiSaab04 / react-play
Forked from reactplay/react-playreact-play is an opensource platform that helps you learn ReactJS faster with hands-on practice model. It is a collection of projects that you can use to learn ReactJS.
A lightweight, local Retrieval-Augmented Generation (RAG) system for domain-specific Q&A over financial documents. Uses pdfplumber for PDF parsing, sentence-transformers for dense retrieval, and op…
This repository provides tutorials and implementations for various Generative AI Agent techniques, from basic to advanced. It serves as a comprehensive guide for building intelligent, interactive A…
This project focuses on automating the loan eligibility process for Dream Housing Finance Company, which provides home loans across urban, semi-urban, and rural areas. The goal is to build a data-d…
Developed an ML model to predict lung disease using clinical, lifestyle, and environmental data. Achieved 99.5% accuracy using XGBoost and Logistic Regression. Applied feature engineering, SHAP-bas…
WeatherPredictionAPI : A full-stack machine learning system that predicts temperature using historical and real-time weather data. The project includes data collection, feature engineering, model t…
A modular Python implementation of a Simple Reflex Agent, designed to simulate intelligent behavior using condition-action rules. This project serves as an educational demonstration of one of the f…
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
A machine learning-powered REST API for predicting the presence of heart disease based on patient clinical data. Built using FastAPI and Dockerized for easy deployment. The final model uses a tuned…
This project demonstrates deep learning-based segmentation of retinal blood vessels from fundus images using a U-Net architecture with an EfficientNetB4 encoder. The goal is to segment vessel struc…
MiniAGI is a simple general-purpose AI agent based on the OpenAI API.
Sentiment Analysis Classifier with Machine Learning Models.
Deep learning pipeline for classification of Cataract, Diabetic Retinopathy, Glaucoma and Normal using fundus images