Movie recommendation systems use machine learning to predict which movies a user is likely to enjoy based on their past viewing history and other factors, such as the ratings they have given to other movies, the genres they prefer, and the cast and crew of the movies they have watched.
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my Cases
Machine Learning
Movie Recommendation
Machine Learning
Credit Card Fraud Detection
Fraud Detection model based on anonymized credit card transactions. It is important that credit card companies are able to recognize fraudulent credit card transactions so that customers are not charged for items that they did not purchase.
Artificial Intelligence
Forest fire prediction
Every year, we lost at least 550 crores worth of resources due to unpredictable forest fires. The objective of this project is to predict the probability of a forest area catching fire based on a number of meteorological factors such as temperature, wind speed, relative humility etc of the concerned area.
Artificial Intelligence
Face Recognition
Facial Recognition is the task of making a positive identification of a face in a photo or video image against a pre-existing database of faces. It begins with detection - distinguishing human faces from other objects in the image - and then works on identification of those detected faces.
Artificial Intelligence
Generating Synthetic Data
Developed a method for generating synthetic text data using a machine learning approach. First trained a language model on a dataset of real text, and then used this model to generate new data by applying random perturbations. The results showed that the synthetic data was of comparable quality to real data.
Data Analytics
COVID-19 Analytics
A COVID-19 a data analytics project that uses data visualization techniques to communicate information about the COVID-19 pandemic. This can include data on the spread of the virus, the effectiveness of public health measures, and the impact of the pandemic on society.
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