Academic Year 2023-24

MAHARASHTRA STATE BOARD OF TECHNICAL EDUCATION, (MUMBAI)

A
Project Report
on

“ AI Based Personal Assistant ”

Submitted by:

Sr. No. Name of Student Exam Seat No.

1) Khushal Vikas Nikam : 377941
2) Prathmesh Sanap : 377956
3) Yash Sandeep Raut : 377955
4) Ritesh Amit Padaya : 377943

Under the Guidance of:

Name of Guide : Ms. S.S.Dhoot
Designation : Lecturer in Information Technology

Department of Information Technology

K. K. WAGH POLYTECHNIC, NASHIK
Academic Year 2023-24
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 Karmaveer Kakasaheb Wagh Education Society’s

K. K. WAGH POLYTECHNIC
HirabaiHaridasVidyanagari, Amrutdham, Panchavati, Nashik-422003, Maharastra

Certificate

This is certify Prathmesh Pravin Sanap[43] From Department of Information Technology

of K. K. Wagh Polytechnic, Nashik College having Enrollment No.2100780395,
2100780395,2100780394 and 2100780381 has completed Project Report of the Vth
Semester having project title “AI Based Personal Assistant” in a group consisting of 04
persons under the guidance of the Faculty Guide.

Mr. S.S.Dhoot Ms. M. S. Karande

Internal Guide HOD

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 ACKNOWLEDGEMENT

With deep sense of gratitude, we would like to thanks all the people who have lit our path with
their kind guidance. We are very grateful to these intellectuals who did their best to help during our project
work.
It is our proud privilege to express deep sense of gratitude to Prof. P. T. Kadave, Principal, K.
K.Wagh Polytechnic, Nashik for his comments and kind permission to complete this project. We remain
indebted to Ms. M. S. Karande, Head of Information Technology Department for her timely suggestion
and valuable guidance.
The special gratitude goes our Internal Guide Mr. S.S.Dhoot staff members, technical staff
members, of Information Technology Department for his expensive, excellent and precious guidance in
completion of this work. We thanks to all the class colleagues for their appreciable help for our working
project.

With various industry owners or lab technicians to help, it has been our endeavor to through out
our work to cover the entire project work.

We also thankful to our parents who providing their wishful support for our project completion
successfully. Lastly we thanks to our all friends and the people who are directly or indirectly related to our
project work.

Name of Student :
1) Prathmesh Pravin Sanap TYIF

Vision:

To Cultivate technically proficient IT professionals

Mission:

M1: To groom for further studies and career oriented learning

M2: To imbibe behavioral & technical skills to meet the present and future needs of society.

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 Abstract

Developing a Multilingual AI Personal Assistant with Advanced Problem-Solving Capabilities

This abstract serves as a concise overview of our project aimed at creating an advanced AI personal
assistant. The importance of such an assistant in modern technology is evident, as it enhances user
interactions, transcends language barriers, facilitates mathematics problem-solving, and simplifies code
generation. The project's specific objectives were to develop an AI personal assistant capable of accepting
and processing voice commands accurately, enhancing user experience. A notable feature of our assistant
is its bilanguage proficiency, making it accessible to users in both Hindi and English. Utilizing cutting-
edge natural language processing (NLP) techniques, the assistant effectively deciphers user intent and
context, ensuring precise and efficient command processing. Furthermore, our assistant showcases
expertise in mathematics problem-solving, catering to a diverse user base, including students,
professionals, and enthusiasts. It leverages AI algorithms to provide quick and accurate solutions to a wide
range of mathematical queries. In addition to math problem solving, our assistant assists users in code
generation, streamlining coding tasks across multiple programming languages. This feature is particularly
valuable to developers, students, and professionals requiring swift and accurate code generation. Notably,
the personal assistant engages in proactive communication, eliminating the need for notifications and
enabling dynamic, natural conversations with users.

In summary, our project represents a significant advancement in AI personal assistant technology, offering
multilingual support, math problem-solving, and code generation capabilities. This innovation addresses
a variety of user needs, from daily productivity to educational and development tasks. This abstract
provides an overview of the project's importance, objectives, approach, and key takeaways, all within the
constraints of brevity and articulation.

Keywords:

Personal Assistant, Voice Commands, Natural Language Processing (NLP), Bilanguage Support,
Mathematics Problem Solving, Automatic Vocalization, Code Generation, Artificial Intelligence.

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 Table of Contents

Sr.No. Name of topic Page no.

1 Abstract, Figure Index, Acknowledgement
2 Introduction 1
3 Literature Survey 3
4 Project Requirement Analysis & Feasibility 5
5 Project Design & Analysis 7
6 Future Scope & Conclusion 10
7 References 11

Index of Figures
Fig.No. Name of figure Page no.
4.2 Block Diagram / Process Framework
4.2 DFD of “AI Based Personal Assistant”

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 Chapter - 1 Introduction and Background of AI Based Personal
Assistant or User based Problem

1.1 Introduction

In the ever-expanding digital landscape, the development of an AI-based Personal Assistant serves as a
response to the pressing challenges posed by modern technology. The central issue we address is the
growing demand for intelligent, multilingual digital assistants capable of simplifying users daily tasks and
enhancing their productivity. This introduction situates the problem within its broader context,
emphasizing its relevance to a wide audience, including the scientific community and stakeholders. The
need for advanced personal assistants extends beyond mere convenience; it addresses a fundamental
concern in our increasingly complex digital world. Moreover, it is of particular significance in ensuring
that technology is accessible to users who speak languages other than English, such as Hindi, thereby
promoting inclusivity in the digital realm.

Our specific research function within this subject area centers on creating an AI Personal Assistant with
multilingual capabilities and advanced problem-solving functionalities, including code generation. This
choice is substantiated by the necessity for a comprehensive solution to the communication and task
execution challenges faced by users across diverse linguistic and problem-solving contexts. Our research
aims not only to contribute to the scientific understanding of AI but also to meet the broader objective of
making technology more efficient and accessible on a global scale. This introduction underscores the
importance of our research problem, highlighting its pertinence to the scientific community and
stakeholders who are invested in shaping the future of digital technology for the benefit of all users.

1.2 Background

The development of this project was motivated by the growing demand for intelligent virtual assistants
and the desire to create a versatile, multilingual, and efficient AI-based Personal Assistant. With the
increasing reliance on technology for daily tasks and interactions, there was a need for an AI system that
could simplify various processes, provide multilingual support, and enhance user experiences.
Additionally, the project aimed to leverage cutting-edge AI technologies to address these demands and
contribute to the evolution of human-computer interaction.

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1.3 Problem Statement

The problem at hand is the need for a versatile, multilingual, voice-activated AI-based Personal Assistant
that simplifies daily tasks, addresses linguistic diversity, and enhances user experiences. Current digital
assistants often lack the capacity to seamlessly switch between languages like Hindi and English, limit
user interactions to text-based inputs, and may not offer efficient solutions to complex tasks such as math
problem-solving and code generation. Users are seeking a comprehensive, user-centric solution that
streamlines tasks, embraces multilingualism, and operates through voice commands, catering to
educational, professional, and everyday needs. Addressing these challenges and providing an effective,
inclusive, and innovative Personal Assistant is the primary focus of this project.

The problem further extends to the limitations in current digital assistants' abilities to engage in proactive
communication, thus reducing user reliance on traditional notifications. There is a need for an AI Personal
Assistant that not only responds to user queries but also anticipates user needs and provides information
or assistance before users explicitly request it. This requires the development of an AI assistant that is
more than just a reactive tool but an active and intuitive companion in the digital realm. The project aims
to bridge these gaps, creating an AI Personal Assistant that goes beyond the conventional and becomes a
reliable, multilingual, and voice-activated virtual companion for users, offering efficiency, accessibility,
and proactive engagement.

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 Chapter - 2 Literature Survey for Problem Identification and
Specification
Before embarking on the development of the of AI Based Personal Assistant, a literature survey is
conducted. Within this literature survey we embark on a journey through pivotal research and analyses,
shedding light on the methodologies and implications that underpin the realm of AI Personal Assistants.

Research Paper 1: IntelliAssistant – AI based Personal Assistant (2021)

Authors Name: Himank Bhudhiraja , Nikhil Sharma

Description: This research delves into the significance of AI chatbots in business, customer service,
and entertainment, emphasizing their ability to save time and increase customer satisfaction. The study
introduces a novel chatbot that goes beyond traditional models. It not only answers queries but also learns
from previously unanswerable questions, expanding its dataset. Leveraging machine learning and artificial
intelligence, it represents a more advanced approach compared to older pattern-matching techniques. The
paper explores the practical applications of chatbots across various domains, highlighting their potential
to streamline tasks and provide efficient problem-solving. This research aims to address user frustration
by enhancing the chatbot's dataset over time, offering a more interactive and adaptable solution.

Research Paper 2: AI-Based Virtual Assistant Using Python: A Systematic Review

Authors Name: Patil Kavita Manojkumar, Aditi Patil, Sakshi Shinde, Shaktiprasad Patra, Saloni
Patil.

Description: A software agent that will carry out tasks or provide services in response to a user\'s
privately supported instructions or inquiries is known as an intelligent virtual assistant (IVA) or
intelligent personal assistant (IPA). A virtual assistant capable of being accessed via web chat is
sometimes called a \"chatbot.\" Online chat systems can occasionally only be used for amusement. Some
virtual assistants are equipped to comprehend spoken language and answer with synthetic voices. Users
can use voice commands to manage other basic chores like email, to-do lists, and calendars in addition to
asking their assistants questions, controlling home automation devices, and controlling media playing.
One of the best applications of artificial intelligence is the virtual personal assistant (VPA), which offers
a new way for people to delegate tasks to machines. To create a Virtual Personal Assistant (VPA) and
use it in various software applications, certain approaches and principles are used.

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Research Paper 3: Research Paper on Desktop Voice Assistant (2022)

Authors Name: Vishal Kumar Dhanraj, Lokeshkriplani ,Semal Mahajan

Description: The main goal of Artificial intelligence (AI) is the realization of natural dialogue between
humans and machines. There are many IT companies have used the dialogue systems technology to
establish various kinds of Virtual Personal Assistants (VPAs) based on their applications and areas for
increasing interaction between human and machine, such as Microsoft’s Cortana, Apple’s Siri, Amazon
Alexa, Google Assistant. As like Microsoft Cortana we have created our own virtual personal assistant
only for windows using python which is able to access on any windows explorer such as windows
7,8,10. We use python as a programming language because it have a major libraries which is use to
execute commands. By using python installer packages our personal virtual assistant recognize the user
voice and process on it.

Through this survey, we are implementing an AI Based Personal Assistant which provides all
innovative features to user . This project aims to develop an AI-based Personal Assistant that streamlines
tasks and delivers efficient solutions, enhancing user productivity. It emphasizes multilingual support,
enabling voice commands in Hindi and English, promoting inclusivity. The AI Assistant prioritizes voice-
driven interactions, enhancing accessibility for users with diverse needs. With advanced math problem-
solving and code generation capabilities, it targets educational and professional applications. Furthermore,
the project focuses on proactive communication, reducing the reliance on traditional notifications and
improving overall user experiences.

4.
Chapter - 3 Project Requirement Analysis & Feasibility
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The specific requirements for our Project are as followed:

Functional Requirements:
1. Voice Command Recognition:
- The system must accurately recognize and process voice commands in multiple languages,
including Hindi and English.

2. Information Retrieval:
- The AI Assistant should efficiently retrieve information from various sources, such as the internet,
databases, and local resources, to answer user queries.

3. Math Problem Solving:

- The system must be capable of solving a wide range of mathematical problems and equations
accurately.

4. Code Generation:
- The AI Assistant should generate code snippets in various programming languages based on user
specifications and requirements.

5. Multilingual Support:
- The system must support interactions in multiple languages and understand the nuances of
different dialects.

6. Proactive Communication:
- The AI Assistant should proactively provide information and assistance, reducing the reliance on
traditional notifications.

Non-Functional Requirements:

1. Performance:
- The system should respond to user commands with minimal latency, ensuring quick and efficient
interactions.

2. Scalability:
- It should be scalable to accommodate a growing user base and handle increased computational
loads without performance degradation.

3. Reliability:
- The AI Assistant should provide consistent and accurate responses, minimizing errors and
downtime.

4. Usability:
- The user interface and interactions should be intuitive and user-friendly, catering to users with
diverse abilities and technical backgrounds.

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Feasibilities of Project : .

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1. Technical Feasibility:
The project is technically feasible due to the availability of established technologies and
development tools for voice recognition, NLP, and machine learning.

2. Economic Feasibility:
Economic feasibility depends on cost-benefit analysis to determine whether project benefits, like
increased efficiency and user satisfaction, outweigh development and maintenance costs.

3. Operational Feasibility:
The project aligns with organizational goals if it can effectively enhance user interactions,
streamline tasks, and support multilingual users.

4. Market Feasibility:
The project's feasibility in the market relies on assessing demand for a multilingual, voice-activated
assistant with advanced features and understanding the competitive landscape.

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Chapter - 4 Project Design & Analysis
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4.1 System Context / Level diagram and description :

The project's system context is anchored by the AI-Based Personal Assistant, a versatile software
application designed to interact with users via voice commands and text inputs. Its primary functions
encompass processing user queries, retrieving information, delivering solutions, and initiating proactive
communication. The project aims to create an efficient and adaptable assistant capable of serving a diverse
user base, including students and professionals, while addressing linguistic diversity by supporting
multiple languages, such as Hindi and English.

Users form an essential part of the system context, engaging with the assistant for problem-solving and
task management. This diverse user base necessitates inclusivity, and the assistant caters to various needs.
The project further integrates with third-party services and data sources, such as web search engines and
APIs, to enhance its knowledge and capabilities, enabling it to provide comprehensive responses to user
queries.

To ensure a flexible user experience, the AI-Based Personal Assistant is accessible through various devices
and platforms, accommodating smartphones, tablets, desktops, and other smart devices, and adapting to
different operating systems. Internet connectivity is pivotal, enabling access to online resources and
services for up-to-date and relevant information. In this system context, the assistant acts as an
intermediary, bridging users with external resources to offer a seamless, efficient, and user-centric
experience.

4.2 File / Database Designs:

4.1 Block Diagram

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 Block Diagram for “ AI Assistant ”

The working of AI Based Personal Assistant involves a series of steps and interactions:

1. User Registration: Users can directly use this Assistant through browser. They register by
providing their email or creating new Account.

2. User Interaction: Users interact with the AI Personal Assistant through a user interface that
includes voice input and display output components.

3. Voice Input Processing: Voice commands provided by the user are initially processed through a
speech recognition module, are further interpreted and translated into actionable tasks for the AI
assistant.

4. Natural Language Processing (NLP): The system employs deep learning models like RNNs and
CNNs to comprehend the user's intent and context, allowing for accurate interpretation of voice
commands.

5. Problem-Solving & Code Generation: Mathematical problem-solving and code generation are
key functionalities of the assistant. It uses symbolic mathematics libraries and problem-solving
heuristics to address mathematical queries. Code generation is performed through machine
learning algorithms.

6. Proactive Communication: Proactive communication is managed in this block, where the

assistant can automatically speak when required instead of relying on notifications. Text-to-speech
(TTS) synthesis is used to generate vocal responses.

7. Cross-Validation and Data Collection: The project collects user interaction data, both synthetic
and real-world, ensuring that findings are based on comprehensive datasets. Cross-validation
techniques are used to validate research results.

Components design (DFD):

Text Queries
User Authentication
Voice Commands
Data Storage
AI
Users Ask Assistant Database
questions Data Backup

Set Reminders Query Processing

4.2 DFD for “ AI Assiatant ”

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4.3 Module Analysis & designs Module:

⚫ Module Title :
Natural Language Processing (NLP)
⚫ Purpose of Module:
The NLP module in this project serves a fundamental purpose, enabling the AI-based Personal
Assistant to understand and process human language effectively. It plays a crucial role in
comprehending voice commands and text queries from users, supporting multilingual interactions
in languages like Hindi and English. Additionally, the NLP module aids in information retrieval
from various sources, enriching the assistant's knowledge base. It also contributes to the generation
of contextually appropriate and natural-sounding responses, fostering a seamless and user-centric
experience. Furthermore, NLP facilitates the assistant's learning and adaptation, enhancing its
performance and user satisfaction over time.

⚫ Inputs and Outputs for Module:

Inputs:

User Voice Commands

Text Queries
Multilingual Input
Historical Data
Data from Third-Party Services

Outputs:

Processed Voice Commands

Multilingual Support
Responses
Contextual Information
Interpreted Text Queries

⚫ Files Used by Module:

The NLP module in a project like the AI-based Personal Assistant typically operates on various
files and resources to perform its tasks effectively. The specific files and resources used by the
NLP module can vary depending on the implementation and technologies chosen. Ex- Language
Models, Voice Data, Text Data, etc.

⚫ Data flow Diagram/ Sequence Diagram :

The flow diagram for the AI-based Personal Assistant project involves user interactions, voice
command processing, and text analysis, all channeled through the Natural Language Processing
(NLP) module. NLP interprets user intent and accesses data sources, guiding response
generation in text or speech. Multilingual support is integrated for languages like Hindi and
English, and user-specific data personalizes responses, concluding the interaction. This
simplified flow diagram provides an overview of the assistant's workflow, which can be
customized for the project's needs.

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 Chapter - 5 Conclusion and future scope.

⚫ Future Scope:

The future scope of the AI-based Personal Assistant project is expansive and promising. It
includes the implementation of advanced Natural Language Processing (NLP) and AI capabilities
for improved language understanding, thereby enabling the assistant to handle complex queries
more effectively. Multilingual support expansion, integration with Internet of Things (IoT) devices,
and personalization features for tailored user experiences are essential aspects of future
development. Additionally, enhancing problem-solving abilities, voice synthesis, cross-platform
compatibility, and data security measures will be pivotal. The incorporation of machine learning
for self-improvement, integration into business and educational applications, and support for voice
commerce, healthcare, and entertainment further underscore the project's wide-reaching potential.
Accessibility features ensure inclusivity, making the AI-based Personal Assistant a versatile and
indispensable tool in various aspects of users' lives.

⚫ Conclusion:
The development of the AI-based Personal Assistant represents a significant advancement in the
realm of digital assistance and human-computer interaction. This project's main finding
underscores the importance of a versatile, multilingual, and voice-driven AI assistant capable of
efficient math problem-solving and code generation. Such an AI personal assistant not only
simplifies daily tasks but also enhances accessibility, productivity, and user satisfaction. For
future studies, it is recommended to further investigate the project's performance in real-world
scenarios across a broader user base. This includes assessing its effectiveness in specialized
domains and exploring additional features to enhance user experience and utility. Additionally,
ongoing research into ethical considerations and user privacy in AI personal assistant technology
is imperative to ensure responsible and secure usage.

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 ❑ REFERENCES :

1. V. Sharma, M. Goyal, and D. Malik, “An intelligent behavior shown by chatbot system,” International
Journal of New Technology and Research, vol. 3, no. 4, 2017: 03

2. Vishal Kumar Dhanraj, Lokesh kriplani, Semal Mahajan, ”Research Paper on Desktop Voice
Assistant” International Journal of Research in Engineering and Science, Volume 10 Issue 2,
February 2022: 04

3.Patil Kavita Manojkumar, Aditi Patil, Sakshi Shinde, Shaktiprasad Patra, Saloni Patil, “AI-Based
Virtual Assistant Using Python: A Systematic Review” , 12 March 2023: 05

❑ Bibliography:

✓ https://ieeexplore.ieee.org/search/searchresult.jsp?newsearch=true&queryText=artificial%20intelligence
✓ https://www.researchgate.net/publication/351456234_IntelliAssistant__AI_based_Personal_Assistant
✓ https://www.scirp.org/journal/paperinformation.aspx?paperid=111666
✓ https://www.ijraset.com/research-paper/ai-based-virtual-assistant-using-python-a-systematic-review

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