Aircraft Certification Rule Extraction and Dashboard System Using Python and FastAPI
  • Author(s): Darshan S; Dr. Kavitha Devi CS; Smt. Lakshmi P
  • Paper ID: 1718774
  • Page: 1114-1122
  • Published Date: 11-06-2026
  • Published In: Iconic Research And Engineering Journals
  • Publisher: IRE Journals
  • e-ISSN: 2456-8880
  • Volume/Issue: Volume 9 Issue 12 June-2026
Abstract

Aircraft certification documents together with Certification specifications (CS), Acceptable Means of Compliance (AMC), and Guidance Material (GM) comprise huge volumes of complicated and unstructured regulatory statistics. guide processing and navigation of those files is time-consuming, error-inclined, and inefficient for engineers and analysts involved in Aircraft certification activities. This paper offers the development of an Aircraft Certification Rule Extraction and Dashboard machine designed to automate the extraction, business enterprise, and visualization of certification policies from CS-23 regulatory files. The proposed system uses Python-based textual content processing strategies to extract rule content from PDF files and convert it into established system-readable records. sample matching and parsing strategies are used to become aware of rule numbers, titles, descriptions, AMC sections, and GM references. The extracted statistics is prepared into JSON layout and served thru FastAPI-based rest APIs. A frontend dashboard changed into advanced the usage of HTML, CSS, and JavaScript to permit customers to correctly browse certification documents, select subparts and guidelines, and consider corresponding AMC and GM data. The gadget also supports exporting certification data into PDF and DOCX record codecs, improving documentation and accessibility. The advanced framework reduces guide effort in dealing with certification specifications and improves traceability of regulatory information. The assignment demonstrates how cutting-edge backend technologies and dependent facts processing can improve regulatory workflow management in the aerospace area.

Keywords

Aircraft Certification, CS-23, FastAPI, Regulatory Document Parsing, Rule Extraction

Citations

IRE Journals:
Darshan S, Dr. Kavitha Devi CS, Smt. Lakshmi P "Aircraft Certification Rule Extraction and Dashboard System Using Python and FastAPI" Iconic Research And Engineering Journals Volume 9 Issue 12 2026 Page 1114-1122 https://doi.org/10.64388/IREV9I12-1718774

IEEE:
Darshan S, Dr. Kavitha Devi CS, Smt. Lakshmi P "Aircraft Certification Rule Extraction and Dashboard System Using Python and FastAPI" Iconic Research And Engineering Journals, 9(12) https://doi.org/10.64388/IREV9I12-1718774