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Detection of Skin Disease using CNN. Detects five types of disease.
Solving Sukodu puzzle in realtime using Deep Learning and Computer Vision. Display the unsolved Sudoku in front of the camera and get the instant solution projecting right on the image.
Facial Expression Recognition . Work on both Realtime as well as on a video .
Predicting & Classifying Brain tumor using CNN model
The search is over. We present to you ‘Just Try It’’ where you can select any apparel,any accessory and put it on yourself to see how it looks! Decide after trying so you get only what you really want.
This project demonstrates the working of tensorflow-extended for creating scalable ML pipelines as well to automate CI/CD pipelines.
ML Project On Bank Churn Analysis Using ANN and Hyper-parameter tuning.
feasibility and practicality of using CNNs on a Raspberry Pi for on-site plant disease detection, providing farmers with an accessible and efficient tool to manage crop health effectively.
This contains the code of Bharat Book Collection(a dummy book store for project) Back-end.
The objective is to combine historical usage pattern along with the open data sources like weather data to forecast the number of vehicle booking demand in a city.
Nutrify
Obesity Level Detector A machine learning model that estimates obesity levels based on user inputs, including dietary habits and physical activity. Hosted on the web, the model provides personalized health advice and recommendations.
Air Qualty Prediction / PM 2.5 Forcasting ML project.
PGDBA - ML-miniproject - Telephone-Data-Churn
Source code for Is this fake news! 🔥
Machine learning project based on Linear regression
A machine learning model which will predict the person is normal or heart-diseased.
A web application for predicting house price in California using MindsDB AI & Node.js.
The Image Classifier web app swiftly identifies sports personalities like Maria Sharapova, Virat Kohli, Serena Williams, and more. Utilizing Flask, HTML, CSS, and JavaScript, this user-friendly tool allows seamless image uploading and accurate classification results.
"Movie Genre Classification" automates film categorization using algorithms like natural language processing & image recognition. It assigns genres like action, comedy, drama, horror, etc., enhancing recommendation systems & user experience in streaming platforms 🎬🤖🔍📽️.
Skip the pain and get right down to work with the lovely Jupyter.
Travelling through flights has become an integral part of today’s lifestyle as more and more people are opting for faster travelling options. The flight ticket prices increase or decrease every now and then depending on various factors like timing of the flights, destination, duration of flights, number of stops, etc. Therefore, having some basic idea of the flight fares before planning the trip will surely help many people save money and time. In the proposed system a predictive model will be created by applying machine learning algorithms to the collected historical data of flights. This system will give people the idea about the trends that prices follow and also provide a predicted price value which they can refer to before booking their flight tickets to save money. This kind of system or service can be provided to the customers by flight booking companies which will help the customers to book their tickets accordingly.
A ML model natural language processing techniques to classify articles based on their content. The model analyzes text from the articles to predict the most relevant category, such as news, sports, or entertainment. The model's performance is validated through rigorous testing, and all relevant code and data sets are included.
A simple Machine Learning project on Titanic Dataset.
Our recommendation system utilizes a combination of collaborative and content-based filtering techniques, analyzing your movie preferences and comparing them with other users to suggest movies you might enjoy. We also consider factors like genre, director, and actors to provide a diverse selection of recommendations.
Crop Recommendation Using Machine Learning(KNeighborsClassifier) and OpenWeatherMap
This is a Fake News Detection Website created by - Muskan Gupta, Radha Singh, Pratyaksha Gupta, Priya Sharma. 1st year BTech CSAI students of IGDTUW
Machine Learning & Deep Learning Projects
Flipkart Review Sentiment Analysis & Spam Comments Detection
These are some good starter ML projects that I curated for a workshop on ML where I was invited as a speaker
Youtubers statistics using ML