Skip to content
#

end-to-end-project

Here are 42 public repositories matching this topic...

Implementing a scalable content team using AI involves creating a framework that blends the strengths of AI technologies with the creative and supervisory capabilities of human team members. This strategy aims to enhance efficiency, creativity, and content output quality.

  • Updated Jun 29, 2024
  • Jupyter Notebook

This repository offers a comprehensive solution for chest disease detection, covering data ingestion, preprocessing, model training, and CI/CD deployment pipelines. From raw data to automated deployment, streamline your chest disease detection process with our end-to-end solution.

  • Updated May 24, 2024
  • Python

This repository contains the full project code for a Predictive Analysis of Productive Employment in Kenya. The repository contains the code for the data science project lifecycle from Business Understanding to Model Building and Evaluation (Colab Notebook) and Model Deployment (Flask, HTML)

  • Updated Mar 12, 2024
  • Jupyter Notebook

🎇 Multi-lingual AI Assistant with gTTS & Gemini Pro 🎆 An end-to-end AI assistant using gTTS for multi-lingual text-to-speech and Gemini Pro API for smart responses. 🌍💬 Experience seamless voice interaction in various languages with continuous updates and improvements! 🚀✨

  • Updated Nov 12, 2024
  • Python

DocBuddy is a Flask web app that lets users upload and interact with PDF files by summarizing content, suggesting keywords, and providing a basic Q&A feature, all through an intuitive interface.

  • Updated Aug 14, 2024
  • HTML

We'll build an HR database in SQL Server, import CSV data, and run queries for analysis. Then, we'll connect to Power BI, create visualizations, and build a dashboard. This end-to-end project will address HR's requests regarding healthy employees, non-smoker compensation, and absenteeism insights, all within the specified budget constraints.

  • Updated Jun 28, 2024

GradeGuru is ML-powered grade predictor to forecast student exam performance. Input student information and get accurate grade predictions for proactive academic planning. Enhance student success and academic outcomes with GradeGuru.

  • Updated Jun 5, 2023
  • Jupyter Notebook

The KKP Blood Screening Project is a web application designed for blood analysis using YOLOv5 object detection model deployed with Flask. This application allows users to upload an image and receive a labeled result indicating various blood cell types. The model is trained to detect 11 classes of blood cells

  • Updated May 8, 2024
  • Python

Improve this page

Add a description, image, and links to the end-to-end-project topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the end-to-end-project topic, visit your repo's landing page and select "manage topics."

Learn more