Objective

To develop a centralized search engine that allows students and researchers to efficiently search, browse, and access academic PDF documents, research papers, and study materials based on keywords, topics, or subjects.

Key Features

 Student/Researcher Panel:

• Secure registration and login

• Search academic PDFs by keyword, author, title, subject, or tags

• Filter search results by publication date, subject, or document type

• Preview PDF content online

• Download PDFs for offline access

• Save favorite documents or create a personal library

 Admin Panel:

• Upload and manage academic PDFs and resources

• Categorize documents by subject, department, or topic

• Assign tags and metadata to each document

• Approve/reject uploaded documents for quality control

• Monitor search trends and document usage statistics

Tech Stack

Workflow (Step-by-Step)

1. User Registration & Login

• Users register and log in securely

• Role-based access for students/researchers and admin

2. Document Upload & Indexing

• Admin uploads PDFs and adds metadata (title, author, tags, subject)

• PDFs are processed and indexed using Elasticsearch or Solr for fast search

3. Search Functionality

• Users enter keywords or filter by metadata

• Search engine retrieves relevant PDFs quickly

• Preview or download options available

4. Library Management

• Users can save documents to their personal library

• Track download history and favorite documents

5. Analytics & Reporting

• Admin monitors popular search terms, frequently downloaded documents

• Generate reports on resource usage and engagement

6. Optional Advanced Features

• Full-text search within PDFs using OCR

• Recommendations based on user search history or related topics

• Multi-language support for PDFs

• Integration with citation tools for academic referencing