IJRTI
International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)

Call For Paper

For Authors

Forms / Download

Published Issue Details

Editorial Board

Other IMP Links

Facts & Figure

Impact Factor : 8.14

Issue per Year : 12

Volume Published : 11

Issue Published : 119

Article Submitted : 23355

Article Published : 9033

Total Authors : 23952

Total Reviewer : 831

Total Countries : 162

Indexing Partner

Licence

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Published Paper Details
Paper Title: Dream Decoder: AI-Based Sleep Pattern & Dream Emotion Analyzer
Authors Name: Praful Gosavi , Nilam Deshmukh , Prasad Biraris , Sarthak Dhame , Adhiraj Korde
Download E-Certificate: Download
Author Reg. ID:
IJRTI_211333
Published Paper Id: IJRTI2604137
Published In: Volume 11 Issue 4, April-2026
DOI:
Abstract: This paper presents a unique combination of modern technology and psychological concepts proposed by Carl Jung. The project, titled AI-based Dream Decoder System, aims to address issues related to mental and emotional well-being by identifying patterns in dreams such as fear, stress, and excitement. The system focuses on analyzing and interpreting human dreams using Natural Language Processing techniques along with basic ideas from Jungian psychology. According to Jung, dreams act as a doorway to the unconscious mind and can reveal hidden thoughts, behaviours, and suppressed emotions [12]. By analyzing dream content, it becomes possible to bring some of these unconscious elements into awareness. This may help individuals better understand their inner state and possible sources of stress or confusion. The system does not provide exact conclusions but offers meaningful insights that can support self-reflection and awareness, making dream analysis more accessible and easier to understand.
Keywords: — Dream analysis, Jungian psychology, natural language processing, artificial intelligence, emotion detection, mental health
Cite Article: "Dream Decoder: AI-Based Sleep Pattern & Dream Emotion Analyzer", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 4, page no.b18-b21, April-2026, Available :http://www.ijrti.org/papers/IJRTI2604137.pdf
Downloads: 00045
ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID: IJRTI2604137
Registration ID:211333
Published In: Volume 11 Issue 4, April-2026
DOI (Digital Object Identifier):
Page No: b18-b21
Country: Nashik, Maharashtra, India
Research Area: Computer Science & Technology 
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2604137
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2604137
Share Article:

Click Here to Download This Article

Article Preview
Click Here to Download This Article

Major Indexing from www.ijrti.org
Google Scholar ResearcherID Thomson Reuters Mendeley : reference manager Academia.edu
arXiv.org : cornell university library Research Gate CiteSeerX DOAJ : Directory of Open Access Journals
DRJI Index Copernicus International Scribd DocStoc

ISSN Details

ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

DOI (A digital object identifier)


Providing A digital object identifier by DOI.ONE
How to Get DOI?

Conference

Open Access License Policy

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Creative Commons License This material is Open Knowledge This material is Open Data This material is Open Content

Important Details

Join RMS/Earn 300

IJRTI

WhatsApp
Click Here

Indexing Partner