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Research Paper Analysis System

We built an AI system that helps researchers quickly analyze medical and scientific research papers by reading, understanding, and summarizing them automatically. The system extracts all key details  like study type, results, sample size, and findings turning lengthy research papers into concise, structured summaries within minutes.

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Summary :

This AI system automates the time-consuming process of reviewing and summarizing research papers. It reads long documents, identifies key insights such as interventions, outcomes, and observations, and generates clear summaries that are easy to interpret. By simplifying analysis, it allows researchers to focus on understanding results rather than manually going through dozens of pages.

Problem

Problem

Objectives

  • Reduce Manual Review Time

    Enable researchers to quickly process long research papers by automatically analyzing, extracting insights, and generating concise summaries within minutes.

  • Deliver High Accuracy and Consistency

    Ensure every paper is interpreted with uniform precision by extracting structured, reliable data across studies, reducing human error and subjectivity.

  • Streamline the Entire Research Workflow

    Make it easier for teams to navigate complex documents, highlight key information instantly, and focus on interpreting findings rather than reading through lengthy PDFs.

  • Enhance Decision-Making With Clear Insights

    Provide well-organized, trustworthy summaries that help researchers compare studies, identify patterns, and make faster, more informed decisions.

Challenges

  • Handling different research formats and document structures.
  • Extracting key data from PDFs that include tables, graphs, and complex layouts.
  • Summarizing detailed content without losing context or meaning.
  • Keeping the interface simple and intuitive for research professionals.

Solution

We developed an AI-based research analysis platform that automatically reads and interprets uploaded research papers. It identifies important details like study type, objective, sample size, outcomes, and conclusions, then creates a structured summary in seconds. Users can search, review, and download the analyzed results directly from the dashboard , making research analysis faster, more consistent, and easier to manage.

Architecture

Document Upload
Researchers upload PDFs through the web interface.
Text Extraction ,
The system reads and extracts information from the paper.
Data Analysis
AI identifies & organizes study details such as objectives, results, and findings.
Summary Generation
A concise, easy-to-understand summary is created.
Export & Review
Users can view or download the summarized data in Excel or CSV formats.

Results & Impact

Reduced research review time from hours to minutes

Delivered clear, structured summaries for quick understanding

Improved accuracy and consistency in data extraction

Simplified research workflows for healthcare and academic users

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Brainy Neurals is an incredibly skilled and adaptable team. Whether I come with a full plan or just a vision, they always deliver beyond expectations.
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Vlad Tudor
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My experience with this RAG project was great. The team built a system that delivers accurate, context-aware responses. From summarizing documents to answering complex queries and improving knowledge retrieval, their efficient implementation ensured smooth and reliable performance.
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Brainy Neurals' OCR-based system has made medical report processing much easier. It accurately extracts patient data and summarizes key information, saving us a lot of time and effort. The automation works smoothly and has improved efficiency in handling reports
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My experience with this project showcased the team’s strong expertise in computer vision and depth estimation. They provided a complete solution, including the app and backend, ensuring seamless integration and high performance.
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The team's attention to detail in data annotation was evident throughout the project. They provided accurately labeled datasets with consistency, ensuring smooth AI model training. Their structured approach made the entire process efficient and reliable.
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