3. WEBSCRAPING USING BEAUTIFUL SOUP
A Process of extracting data from
websites using automated tools or
software
Data collection: extract large
amounts of data from multiple
websites quickly and easily.
Competitive analysis: help
businesses gather information about
their competitors, such as pricing,
product offerings, and marketing
strategies.
4. WEBSCRAPING USING BEAUTIFUL SOUP
Lead generation: help businesses
collect contact information from
potential customers, such as email
addresses or phone numbers.
Content creation: used to gather
information for creating content, such
as news articles, blog posts, or social
media updates.
Market research: used to gather data
on consumer behavior, such as
product preferences, shopping habits,
and social media activity.
5. WEBSCRAPING IDEA ALREADY EXISTS ?
YES
DOES
CHANGES WE PLAN TO IMPLEMENT
• Respect the websites ToS
• Use ethical Webscraping techniques
• A User-Friendly GUI
• AI to enhance the webscraping process
• Using a distributed webscraping system
8. WEBSCRAPING
USING BEAUTIFUL SOUP
REQUIREMENTS
SOFTWARE
• Beautiful soup
• PyCharm
• Visual Studio Code
• Sublime Text
• Requests library
• Pandas for data
manipulation or
• Selenium for web
automation
• A code editor or development environment
10. FIRE DETECTION SYSTEM USING AI & ML
To detect the presence of fire
A combination of image processing and machine learning
techniques
The system uses a camera to capture real-time images
and applies computer vision algorithms to detect fire-
related objects and patterns.
The system is trained using a dataset of images to identify
potential fire hazards accurately.
The proposed system can provide an early warning
11. FIRE DETECTION SYSTEM
IDEA ALREADY EXIST ?
DOES
YES
Existing systems use AI algorithms
to analyze various types of data
Images from cameras,
temperature readings from sensors,
and
smoke particle measurements,
to detect fires in their early stages.
12. FIRE DETECTION SYSTEM
DRAWBACKS
False alarms
Limited coverage
Delayed response
Maintenance issues
Our AI-based fire detection systems use more
sophisticated algorithms and data sources to detect
fires quickly and accurately.