Abstract: A machine learning based system for optimizing features of training datasets of products is disclosed. The machine learning based system is configured to: (a) obtain data associated with first images of each product of first products, (b) analyze second images of each product of second products, one product at a time, using a machine learning model, (c) cluster the second analyzed images of each product of the second products, one product at a time, using a clustering model, (d) create one or more sets to obtain the clustered second analyzed images corresponding to each product of the second products, (e) validate each set of the one or more sets created for the second analyzed images of each product to classify the one or more sets, and (f) utilize the clustered second analyzed images for the training datasets for optimizing the features of the training datasets.

Abstract: A machine learning based system for optimizing training time of a machine learning model is disclosed. The machine learning based system configured to: (a) train the machine learning model on second plurality of data associated with second one or more images corresponding to first one or more products, (b) extract third plurality of data associated with third one or more images corresponding to second one or more products from a database, (c) learn to recognize the third one or more images by fine-tuning the machine learning model trained on the second one or more images, using transfer learning method, (d) fine-tune a subset of the machine learning model to recognize third one or more analyzed images, and (e) analyze fourth one or more images corresponding to the second one or more products using the fine-tuned subset of trained machine learning model trained on third one or more recognized images.

Abstract: A system and method for self-billing one or more products on a self-checkout application is disclosed. The computing system comprises one or more hardware processors and a memory coupled to the one or more hardware processors. The memory comprises a plurality of modules in the form of programmable instructions executable by the one or more hardware processors. The plurality of modules comprises an image receiver module, a visual signature generation module, a product determination module, a product parameter extraction module, and the like. The plurality of modules further comprises a record generation module configured to generate one or more electronic records s based on received one or more images and one or more product parameters. The plurality of modules further comprises an output module configured to output the generated one or more electronic records on a user interface of one or more electronic devices associated with a user.