The process of training machine learning models can be complex and time-consuming, requiring a high level of expertise and specialized tools. This can make it difficult for users without a background in machine learning or data science to train models for their specific use cases. The platform that this work aims to develop addresses this problem by automating the model training process, allowing users to train models with minimal effort and expertise. The platform will enable users to upload their own datasets, select the appropriate algorithm, and train models with minimal effort. The platform also includes data preprocessing, data validation such as checking for null values or incorrect data types, and data visualization. The platform will be built using a combination of machine learning libraries and web development frameworks. The platform will also provide tools for evaluating the performance of models. The platform will simplify the process of training machine learning models, making it accessible to a wider audience and deploying the machine learning models.