Multimodal_Deception_Detection_Using_Pattern_Recognition
Multimodal deception detection system that analyzes speech content, vocal acoustics, and facial behavior from video input and fuses them…
What XERJ indexed
Selected work
“multimodal pattern recognition studio, 13-model benchmark, and …”. 12 files, 4,284 lines in the project root, outputs.
Licence
The repository
LICENSE file checked at the pinned commit; the author agreed to inclusion.
The XERJ corpus
The author agreed by email on 2026-11-01. Same terms as the repository. Answers name the repo, the commit and the file:line.
selected for the XERJ Corpus Hublicence clearedsuggested use: adapt with attribution
computer-visiondeception-detectiondeep-learningmachine-learningmediapipemultimodelnlppython3
Example questions
- How does Multimodal_Deception_Detection_Using_Pattern_Recognition implement computer-vision?
- What does outputs do in Multimodal_Deception_Detection_Using_Pattern_Recognition?
- Show the deception-detection code in Multimodal_Deception_Detection_Using_Pattern_Recognition.
The prompt
Paste it into your AI agent. It clones ChaitanyaParate/Multimodal_Deception_Detection_Using_Pattern_Recognition at the pinned commit and indexes it on your machine.
Search the GitHub repository ChaitanyaParate/Multimodal_Deception_Detection_Using_Pattern_Recognition with XERJ (https://hub.xerj.org/corpus/chaitanyaparate--multimodal-deception-detection-using-pattern-recognition). Run these in a shell, in order, and check each result before the next: 1. xerj --help (success: it prints usage). If xerj is missing: curl -fsSL https://xerj.org/get | sh 2. git clone https://github.com/ChaitanyaParate/Multimodal_Deception_Detection_Using_Pattern_Recognition Multimodal_Deception_Detection_Using_Pattern_Recognition && git -C Multimodal_Deception_Detection_Using_Pattern_Recognition checkout 866d634e06fd794121b7c36dc4f777647d981e26 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./Multimodal_Deception_Detection_Using_Pattern_Recognition --url http://127.0.0.1:9200 --prefix multimodal-deception-det --progress plain 5. xerj autoindex map --url http://127.0.0.1:9200 Then answer my question from the indexed files and cite the ax_path of every hit. Query syntax: https://xerj.org/llms.txt Licence: MIT. Keep the copyright notice and credit the authors.
Related
Chaitanya ParateAI, prompts and agents corporacognitaopennyai-legal-nlpadalflowDeepLearnPhysics/spinekrishanth7/EveryOkornia/kornia
Selected work and consent: the XERJ registry.