VistronAI: Unlocking the Future of AI-Powered Multimedia Interaction

The integration of Large Language Models (LLMs) into various applications occurs because of increasing demands for intelligent automation and real-time decision-making. LLMs power extensive business potential which enables operational improvements along with workflow streamlining and productivity improvements for various industries. VistronAI aims to develop a suite of six LLM-based applications designed to tackle challenges in areas such as data analysis, content generation, and automation. VistronAI addresses these challenges by integrating applications for audio, video, document, URL analysis, OCR for images, and real-time Q&A. By using advanced LLM technologies, the suite combines natural language processing and machine learning techniques to solve complex real-world problems. The combination of improved information retrieval with workflow automation position VistronAI as a robust solution for AI-driven content analysis, multi-modal data processing across diverse use cases.

Authors

Institutions

Publication Details

Journal
International Journal of Scientific Research in Science Engineering and Technology
Published
2025-04-29
DOI
https://doi.org/10.32628/ijsrset25122200
Primary Topic
Multimedia Communication and Technology
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

VistronAI: Unlocking the Future of AI-Powered Multimedia Interaction

Swati Mali, Akanksha Ramesh Solankurkar
International Journal of Scientific Research in Science Engineering and Technology
Multimedia Communication and Technology
article

VistronAI: Unlocking the Future of AI-Powered Multimedia Interaction

Swati Mali, Akanksha Ramesh Solankurkar
article en

Abstract

The integration of Large Language Models (LLMs) into various applications occurs because of increasing demands for intelligent automation and real-time decision-making. LLMs power extensive business potential which enables operational improvements along with workflow streamlining and productivity improvements for various industries. VistronAI aims to develop a suite of six LLM-based applications designed to tackle challenges in areas such as data analysis, content generation, and automation. VistronAI addresses these challenges by integrating applications for audio, video, document, URL analysis, OCR for images, and real-time Q&A. By using advanced LLM technologies, the suite combines natural language processing and machine learning techniques to solve complex real-world problems. The combination of improved information retrieval with workflow automation position VistronAI as a robust solution for AI-driven content analysis, multi-modal data processing across diverse use cases.

International Journal of Scientific Research in Science Engineering and TechnologyVol. 12(2)
D.Y. Patil Education Society (IN), D.Y. Patil University (IN)
Openalex Percentile: Top 88%
Multimedia Communication and Technology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

VistronAI: Unlocking the Future of AI-Powered Multimedia Interaction — Swati Mali, Akanksha Ramesh Solankurkar · International Journal of Scientific Research in Science Engineering and Technology (2025) | TGRS Research Map | TGRS