Development of an AI-Powered Multimodal Web Assistant with Intelligent Resume Building and ATS Enhancement
Abstract & Details
Research Area
Data science
Keywords
Keywords—Artificial Intelligence (AI)
Gemini 2.0 Flash API
Multimodal Web Assistant
Natural Language Processing (NLP)
Generative AI
Resume Generation
Applicant Tracking System (ATS) Optimization
Cohere API
Voice Recognition
PDF Processing
Document Generation
Human–Computer Interaction
Web Application
Career Development
Multi-Modal Processing.
Abstract
**Abstract—** This paper presents the design, implementation, and evaluation of a Gemini-integrated multimodal web assistant with an AI-powered resume generation and Applicant Tracking System (ATS) optimization module. The proposed system leverages Google's Gemini 2.0 Flash API to provide intelligent conversational capabilities and support multimodal input processing, including text, images, PDF documents, videos, and text files. In addition, the system incorporates an advanced resume builder that utilizes Cohere API to generate professional summaries, recommend skills, and optimize resumes for ATS compatibility.
The platform includes several user-centric features such as voice input recognition, real-time search functionality, automatic chat history management, export and import capabilities, responsive user interface design, and theme customization. A modular architecture is adopted to ensure scalability, maintainability, and efficient client-side processing. Comprehensive testing demonstrates reliable performance, effective file handling, and enhanced user experience across educational, professional, and career development applications.
The proposed system addresses the limitations of traditional chatbot platforms by integrating conversational AI, document processing, and intelligent resume generation into a unified environment. Experimental evaluation indicates satisfactory response time, efficient resource utilization, and improved usability. Furthermore, this paper discusses future enhancements, including Optical Character Recognition (OCR), real-time collaboration, advanced analytics, enhanced security mechanisms, and mobile application support. The developed platform demonstrates significant potential as an intelligent digital assistant for students, job seekers, and professionals by streamlining communication, document management, and career development activities.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Amruta Bargal | Dr.Vithalrao Vikhe Patil College Of Engineering, Ahmednagar |
| 2 | Prof. Dahane G. M. | Dr.Vithalrao Vikhe Patil College Of Engineering, Ahmednagar |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Bargal, Amruta & M., Prof. Dahane G. (2026). Development of an AI-Powered Multimodal Web Assistant with Intelligent Resume Building and ATS Enhancement. International Journal of Advance Research and Innovative Ideas In Education, 12(3), 2390-2395.
MLA Style
Bargal, Amruta, and Prof. Dahane G. M.. "Development of an AI-Powered Multimodal Web Assistant with Intelligent Resume Building and ATS Enhancement." International Journal of Advance Research and Innovative Ideas In Education, vol. 12, no. 3, 2026, pp. 2390-2395.
IEEE Style
Amruta Bargal and Prof. Dahane G. M., "Development of an AI-Powered Multimodal Web Assistant with Intelligent Resume Building and ATS Enhancement," International Journal of Advance Research and Innovative Ideas In Education, vol. 12, no. 3, pp. 2390-2395, 2026.
Vancouver Style
Bargal Amruta, M. Prof. Dahane G.. Development of an AI-Powered Multimodal Web Assistant with Intelligent Resume Building and ATS Enhancement. International Journal of Advance Research and Innovative Ideas In Education. 2026;12(3):2390-2395.
Harvard Style
Bargal, Amruta & M., Prof. Dahane G. (2026) 'Development of an AI-Powered Multimodal Web Assistant with Intelligent Resume Building and ATS Enhancement', International Journal of Advance Research and Innovative Ideas In Education, 12(3), pp. 2390-2395.
Chicago Style
Bargal, Amruta and Prof. Dahane G. M.. "Development of an AI-Powered Multimodal Web Assistant with Intelligent Resume Building and ATS Enhancement." International Journal of Advance Research and Innovative Ideas In Education 12, no. 3 (2026): 2390-2395.
Turabian Style
Bargal, Amruta and Prof. Dahane G. M.. "Development of an AI-Powered Multimodal Web Assistant with Intelligent Resume Building and ATS Enhancement." International Journal of Advance Research and Innovative Ideas In Education 12, no. 3 (2026): 2390-2395.
Related Research
Comprehensive Review of Existing Chatbot Systems for Career Assistance, Resume Support, and ATS-Aware Guidance
PDF Unavailable
A Deep Learning-Based Framework for Mood-Oriented Music Recommendation Using Facial Expression Analysis
PDF Unavailable
Survey On : Intelligent Payroll and Human Resource Management Systems: A Systematic Review of Automation, Security, and Analytics
PDF Unavailable
Civic Engagement & Empowerment Platform
PDF Unavailable
Recent Developments in Microneedle Technology and Its Diverse Biomedical Applications
PDF Unavailable
RAG System Development with Pydantic AI ChromaDB & Groq
PDF Unavailable
Machine Learning Based Early Stage Diabetes Detection System
PDF Unavailable
A Survey on Skillsense:AI Career Analyzer App
PDF Unavailable
Employee Performance Portal
PDF Unavailable
STATE AWARE MULTI-HOP ROUTING VIA DIGITAL TWIN FOR IOT NETWORKS
PDF Unavailable