Multi-Document Summarization using BERT and KNN Clustering

I am looking for someone to develop a multi-document summarization tool using BERT and KNN Clustering algorithms. The output format of the summarization will be text-based and it will be generated from a small set of documents - up to 5 pages in length. The summarization should take into account the most important aspects of the documents, as decided by the user, in order to generate an effective summary. Knowledge of natural language processing and deep learning frameworks is required. Experience with implementing BERT and KNN Clustering algorithms is also preferred. On accepting this project's quote, I'll provide a dataset for the same. Proper validation and graphs must be present for results and conclusions.