MINI PROJECT - 1A
AI-Powered Chatbot Web Application
BY:- DSE5
KOMAL MHATRE(SE_B_23)
ADITYA MUNDHE(SE_B_34)
SUSHANT PAKHARE(SE_B_43)
VRUSHALI PATIL(SE_B_58)
under the guidance of
Ms.Tejashree Pangare
Department of Computer Engineering
Pillai HOC College of Engineering and Technology, Rasayani
University of Mumbai
A.Y. 2024-25
CONTENT
01 INTRODUCTION
02 ABSTRACT
03 LITERATURE REVIEW
04 LIMITATIONS OF EXISTING SYSTEMS
05 PROBLEM DEFINITION
06 SYSTEM ARCHITECTURE
07 CONCLUSION
INTRODUCTION
In this project, we have developed a Generative AI chatbot inspired by
Google Gemini using React JS. Our goal was to create an interactive and
intelligent chatbot capable of generating human-like responses. This
application demonstrates advanced AI capabilities similar to ChatGPT,
providing an engaging user experience with features like typing effects,
prompt saving, and responsive design.
ABSTRACT
This project develops an interactive AI-powered chat application to
enhance real-time communication. Built with ReactJS and CSS, it
features intelligent, context-aware responses using Gemini AI. It
includes secure user authentication, conversation history
management, and error resilience. Future enhancements include
advanced NLP, mobile support, and multi-language capabilities.
LITERATURE REVIEW
Research Paper References Year Works
Smith, J.: The Role of AI in Enhancing Explores how AI improves chatbot
Chatbot Interactions. Journal of Artificial 2023 user experience through natural
Intelligence Research. language processing.
Lee, K.: Machine Learning Algorithms in Discusses various machine learning
Chatbot Development. International 2022 models used to enhance chatbot
Journal of Computer Science.. performance..
Gupta, A.: Challenges in Deploying AI Highlights common issues faced in
Chatbots for Customer Support. Journal of 2021 real-world deployment, such as data
Web Applications and Technologies. privacy and user adaptation..
LIMITATIONS OF
EXISTING SYSTEMS
⚬Restricted Language Support
⚬No Emotional Intelligence
⚬Lack of Personalization
⚬Security Concerns
⚬Dependency on Input Quality
PROBLEM DEFINITION
Existing chat applications struggle to provide intelligent, context-aware
communication, leading to irrelevant or repetitive responses. They often lack
advanced natural language processing (NLP) capabilities, multi-language
support, and personalization, limiting user engagement. Additionally, security
concerns and scalability issues hinder reliable performance in handling large
user bases. This project aims to overcome these challenges by developing an
AI-powered chat application using ReactJS and Gemini AI, offering dynamic
interactions, secure data handling, and enhanced user experience.
SYSTEM ARCHITECTURE
CONCLUSION
This project successfully develops an AI-powered chat application using
ReactJS and Gemini AI, delivering intelligent, context-aware
communication. It overcomes the limitations of existing systems by offering
enhanced user experience, secure authentication, and efficient
conversation management. The application’s responsive design and
advanced NLP capabilities ensure dynamic and engaging interactions. With
future enhancements like multi-language support and mobile compatibility,
this platform is well-positioned to transform communication across
customer support, education, and productivity domains
REFERENCE
• Google AI for Developers. (n.d.). Gemini API Documentation :
https://ai.google.dev/gemini-api/docs
• Lansakara, S. (n.d.). Building a Chatbot with React, Express, and Google’s
Gemini AI:https://vercel.com/templates/next.js/gemini-ai-chatbot
• Wikipedia contributors. (n.d.). Gemini (language model):
https://en.wikipedia.org/wiki/Gemini_%28language_model%29
THANK YOU !!
