shr1911 / Tourism-RecommendationLinks
• Proposed system enhances user experience by providing a recommendation in travel domain more specifically for food, hotel and travel places to provide user with various sets of options like time based, nearby places, rating based, user personalized suggestions, etc.M  RECOMMENDATION METHODS : • Near-by Recommendation Algorithm - KNN Algorithm …
☆47Updated 7 years ago
Alternatives and similar repositories for Tourism-Recommendation
Users that are interested in Tourism-Recommendation are comparing it to the libraries listed below
Sorting:
- **A end to end project - Powered by Django and Machine Learning** - This project aims to provide a web platform to predict the occurrenc…☆296Updated 3 years ago
 - An Electronic Voting Machine Powered by AI. ATM like voting system. Phases included are Persons detection, Face mask detection, Face reco…☆15Updated 3 years ago
 - Building a Movie Recommendation System web application using Django framework and Collaborative Filtering technique☆80Updated last year
 - Basic Movie Recommendation Web Application using user-item collaborative filtering.☆223Updated 3 years ago
 - Python Django☆32Updated 4 years ago
 - Movie Recommendation System with Complete End-to-End Pipeline, Model Intregration & Web Application Hosted. It will also help you build s…☆167Updated last year
 - ☆66Updated 2 years ago
 - Crime classification, analysis & prediction in Indore city☆59Updated 7 years ago
 - Heart Disease prediction using 5 algorithms☆124Updated last year
 - A Machine Learning and Deep Learning based webapp used to predict multiple diseases.☆141Updated 2 years ago
 - # django_dbms_project My project Natural Disaster Management System involves distribution of foods, cloths properly to natural disaster …☆15Updated 4 years ago
 - Breast Cancer Detection App Using Machine Learning XGBoost Classifier☆14Updated 4 years ago
 - This project is a online project management system for undergraduate and graduate students and their supervisors. It is Django Framework …☆35Updated 5 years ago
 - This Machine Learning project is used to predict the disease based on the symptoms given by the user.It predicts using three different ma…☆144Updated last year
 - Multiple disease prediction such as Diabetes, Heart disease, Kidney disease, Breast cancer, Liver disease, Malaria, and Pneumonia using s…☆94Updated 2 years ago
 - A Django application developped for classification of a diabetes complication that affects eyes☆108Updated last year
 - Given a dataset containing attribute of 396 Portuguese students where using the features available from dataset and define classification…☆81Updated last year
 - Automated Real-Time Indian Railway Twitter Complaint Administration System. It uses Apache Kafka, Spark, MySQL, PHP. The full project was…☆41Updated 5 years ago
 - Content based movie recommendation system with sentiment analysis☆97Updated 2 years ago
 - A MySQL Project which depicts a sample database of the ICC Cricket World Cup☆21Updated 5 years ago
 - A web portal for connecting farmers and agriculture experts☆17Updated 4 years ago
 - A machine learning web application use to predict chances of heart disease, built with FLASK and deployed on Heroku.☆43Updated last year
 - Machine Learning helps in predicting the Heart diseases, and the predictions made are quite accurate.☆276Updated last year
 - Railway Ticketing Management System | Database: Oracle-19c | BackEnd: Django Framework | Query Language: ORM | Front-End: Javascript,CSS,…☆34Updated 3 years ago
 - Predicting Consumer Purchase intention using Twitter Data☆56Updated 5 years ago
 - IEEE Research paper and Final Year Project on Cryptography Communication Security. IEEE Paper with Code. Top class Research paper.☆33Updated 3 years ago
 - ☆20Updated 5 years ago
 - Plant Disease Identification Using Convulutional Neural Network☆237Updated 5 years ago
 - It's an end-to-end Machine Learning Project. The prediction has been done by using Machine Learning (ML) classification algorithms and it…☆11Updated 2 years ago
 - A Django App for predicting Heart disease, Diabetes and Breast Cancer developed using Random Forest Classifier and KNN.☆24Updated 3 years ago