The Jarvis AI project, developed in Python, functions as an intelligent assistant that automates daily tasks through voice commands, providing features like web control, reminders, and personalized playlists. While it enhances productivity and convenience, its functionality is limited by internet dependency and potential misinterpretation of commands. Future improvements may include advanced natural language processing, machine learning, IoT device integration, and augmented/virtual reality enhancements.

1. Jarvis AI
Presented By :
Vishal Rathore
Sandeep kumar Paswan
Abhishek kumar
Guided By :
Assistant Prof. Praveen Kumar
College:
B. P. Mandal College of Engineering,
Madhepura
JarvisAi

2. Project
Overview
JarvisAi
The Jarvis AI project, built using Python, includes
diverse functions like voice commands, app/web
control, reminders, news updates, personalized
playlists, internet speed checks, focus tools, and more.
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3. JarvisAi
Problem
Statement
The problem statement for the Jarvis AI project is to
develop an intelligent assistant using Python that
automates daily tasks, provides information, controls
applications, and enhances productivity through voice
commands and various integrated functions, creating a
seamless user experience.
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4. JarvisAi
Working
04
1. Voice Recognition and Command Processing
Speech Recognition: The AI uses Python’s speech_recognition
library to capture audio input from the user. This input is
converted into text for processing.
2. Function Implementations
Speak Function: Uses text-to-speech (TTS) to convert text
responses back into speech using libraries like pyttsx3.
Greet Me Function: Provides personalized greetings based on
the time of day.

5. JarvisAi
Working
04
2. Function Implementations
Conversations: Predefined responses for casual conversation,
leveraging simple pattern matching or more advanced NLP models.
Web Searching: Uses APIs like Google's Custom Search API to
fetch web results and reads out the top results.
Temperature and Time: Fetches current weather and time using
APIs like OpenWeatherMap and Python's datetime module.
Sleep Mode: Puts the AI into a low-power or standby mode.

6. JarvisAi
Working
04
2. Function Implementations
App/Web Control: Uses libraries like os for system-level
commands to open/close applications or websites.
Alarm: Implements alarm functionality using Python's time
module.
YouTube Controls: Controls YouTube playback using web
automation tools like pyautogui.
Reminders: Manages reminders using a combination of datetime
and storage (e.g., a text file or database).

7. JarvisAi
Working
04
2. Function Implementations
Personalized Playlist:Plays music from a predefined playlist
using a media player library like pygame.
Calculator: Performs arithmetic operations using basic Python
arithmetic.
System Shutdown: Shuts down the system using OS-specific
commands (os.system("shutdown /s") for Windows).
Password Protection: Secures certain commands behind a
password prompt.

8. JarvisAi
Working
04
2. Function Implementations
Schedule My Day: Provides a summary of the user's schedule.
Open Any App: Opens specified applications using system commands
Internet Speed Function: Checks internet speed using speedtest-cli.

9. JarvisAi
Advatages
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Convenience: Offers voice-activated control over various
applications, making it easy to perform tasks hands-free.
Versatility: Provides a wide range of functions, from playing
music to setting reminders and even controlling devices.
Automation: Automates daily tasks like scheduling, opening
apps, and providing news updates, saving time and effort.

10. JarvisAi
Disadvantages
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Dependency on Internet: Many features, like web searching
and news updates, require an internet connection, limiting
functionality offline.
Background voice can interfere
Misinterpretation because of accents and may cause inaccurate
results.

11. JarvisAi
Result and
Impact
The Jarvis AI project enhances daily productivity by automating
tasks, providing quick access to information, and offering
personalized assistance through voice commands. Its wide
range of functions, from web searching to app control,
significantly simplifies routine activities, making technology
interaction more seamless and efficient for users.
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12. JarvisAi
Future
Trends
• Future trends for the Jarvis AI project include advanced NLP for natural
conversations, machine learning for personalized user experiences, and
integration with IoT devices for smart home automation. Additionally,
incorporating augmented reality (AR) and virtual reality (VR) for immersive
interactions, and enhancing security with biometric authentication, will make
the AI assistant more intuitive, secure, and integrated into daily life.

13. Thank You!
JarvisAi
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