iDharshan / ML-Based-Vehicle-Predictive-Maintenance-System-with-Real-Time-VisualizationLinks
AI-driven predictive maintenance for vehicles using GBM models on real-time sensor data. Proactive fleet management, cost reduction, and efficient transportation enabled by forecasting maintenance needs and part failure probabilities through a web application interface.
☆37Updated last year
Alternatives and similar repositories for ML-Based-Vehicle-Predictive-Maintenance-System-with-Real-Time-Visualization
Users that are interested in ML-Based-Vehicle-Predictive-Maintenance-System-with-Real-Time-Visualization are comparing it to the libraries listed below
Sorting:
- Siddhartha80 / AI-Powered-Predictive-Maintenance-System-for-Vehicles-with-Real-Time-Data-Visualization-and-AnalysisGradient Boosting Models on Real-Time Sensor Data for AI-Enhanced Vehicle Predictive Maintenance. By using a web-based interface to forec…☆19Updated last year
- Author: Feras Al-Basha; Research Director: Yossiri Adulyasak; Research Director: Laurent Charlin; MSc in Global Supply Chain Management -…☆51Updated 4 years ago
- Prediction of Energy Consumption using Machine Learning for Energy Sustainability☆20Updated 6 years ago
- Automated pipeline for energy consumption forecasting across Europe using Azure cloud and Databricks.☆12Updated 2 years ago
- Supply Chain Optimization with Python☆108Updated 3 weeks ago
- This project aims to build a streaming application to perform real-time analytics of Covid-19 related tweets and deploy an ML model for r…☆15Updated 4 years ago
- ☆12Updated 4 years ago
- Extracting details from Resume(CVs) and matching with Job Description(JDs) using pretrained model like DistilBERT and ranking them using …☆20Updated 2 years ago
- I am going to show you step by step how to perform text clustering with Python. For full article, feel free to visit https://learndatasci…☆10Updated 5 years ago
- Building a machine learning model to predict energy consumption using LSTM (Long-Short Term Memory)☆64Updated 3 years ago
- Illustrating a typical Predictive Maintenance use case in an Industrial IoT Scenario. By using Statistical Modelling and Data Visualizati…☆27Updated 3 years ago
- Open Source Agentic AI Projects! 🤖 This repository is dedicated to learning and developing Agentic AI systems.☆37Updated 11 months ago
- Build Supply Chain Sustainability Reporting with Python☆57Updated last month
- Creating a chatbot for your e-commerce business is now easier than ever with OpenAI, bypassing complex deep learning algorithms☆43Updated 2 years ago
- Predicting Global Supply Chain Outcomes for Essential HIV Medicines using Machine Learning Techniques☆43Updated 6 years ago
- Developed an AI application using LLM to analyze user resumes and provided the summarization, strengths, weaknesses, suggestions, suitabl…☆196Updated 11 months ago
- Youtube Tutorial: Streamlit app that predicts Breast Cancer☆53Updated last year
- Control Industrial Automation System with Large Language Models☆68Updated 2 months ago
- Gen AI Large Language Model Projects☆82Updated last year
- ☆39Updated 6 months ago
- ☆18Updated 5 years ago
- Meet MultiPDF 📚 Chat AI App! 🚀 Chat seamlessly with Multiple PDFs using Langchain, Google Gemini Pro & FAISS Vector DB with Seamless St…☆126Updated last year
- This repository provides comprehensive resources for learning Agentic AI, including blogs, tutorials, and projects that will help you mas…☆149Updated 3 months ago
- Free Doctor Consultation with Artificial Intelligence by using Generative AI☆96Updated last month
- Forecasted product sales using time series models such as Holt-Winters, SARIMA and causal methods, e.g. Regression. Evaluated performance…☆67Updated 6 years ago
- Smart City project - Forecasting and optimizing HVAC system parameters in a large public building.☆13Updated 3 years ago
- Awesome Agentic AI Learning Resource by DevKay is a curated roadmap for mastering Agentic AI—from ML foundations to production-ready agen…☆41Updated 5 months ago
- Inventory Management for Retail — Deterministic Demand☆18Updated last month
- Using machine learning to solve one of the most common problem of Supply Chain domain, i.e Demand Forecasting.☆35Updated 4 years ago
- This plant leaf disease detection project was developed using Python, Flask, TensorFlow, and NumPy. The model was trained over 3000+ data…☆10Updated 2 years ago