This project aims to analyze the functionalities of the Apache Solr platform, an open-source document search engine, for indexing and searching documents. The project involves configuring a prototype of Apache Solr and developing several components, including scripts, a Java program, and a UI Solritas. These components work together to achieve the following tasks:

1. Detect changes in a folder containing documents in real time
2. Identify non-indexable PDF files
3. Make non-indexable PDF files indexable using OCR to extract text content
4. Index the PDF files using Apache Solr
5. Perform searches on the indexed files through a graphical interface

Prerequisites • Presentation • Screenshots

1. Solr
2. Leptonica
3. Tesseract

The project's aim is to configure a prototype of Apache Solr and develop a set of scripts, a Java program, and a UI Solritas to index and search documents. The main parts are:

1. Real-time detection of changes in a folder containing documents
   • This task is performed by a script that monitors the folder and detects any file creation, modification, deletion, or movement
2. Identification of non-indexable PDF files
   • This task is performed by a script that identifies PDF files that cannot be indexed because of missing text content
3. Making the PDF files indexable for content
   • This task is performed by a script that uses Optical Character Recognition (OCR) technology to extract text from PDF files that cannot be indexed
4. Indexing the PDF files using Apache Solr
   • This task is performed by a Java program that indexes the PDF files on the Apache Solr platform
5. Performing searches on the indexed files with a graphical interface
   • This task is performed by a UI Solritas that allows users to search the indexed files using a graphical interface

Below are some screenshots (in Italian) of the different components used in the project: