AI Powered - Smart Search System (AIP-S³)

AIP-S³ (Home Page)

Inspiration

Searching for specific information from notes and web pages was a challenge. Finding accurate answers while studying news or gathering data for projects was a time-consuming task.1

What it does

AI solves the issues mentioned. AIP-S³ leverages Information Retrieval to give relevant information from PDFs and web pages. Upload your PDFs or web links, ask your query, and AIP-S³ retrieves information relevant to your query. User can upload PDFs or links of website and then user will ask query, AIP-S³ will retrieve information from files or webpages related to user's query.

How we built it

Programming language -Python
Preprocessing - NLTK and SpaCy
Demonstration - Streamlit

Challenges we ran into

Extraction of textual data (Textraction) from PDFs and webpages.
Function for Semantic Similarity.
Reducing processing time.

Accomplishments that we're proud of

We are proud to have successfully overcome all challenges and transformed our model into a fully functional version. This project will provide valuable insights into vast amounts of textual data and be incredibly useful for various applications.

What we learned

Real life application of NLP techniques.
Semantic Similarity.
Web Scraping.

What's next for AI Powered - Smart Search System (AIP-S³)

AIP-S³ will be available as extension for browsers so user can ask question on webpages and files itself.
AIP-S³ will have more preprocessing steps to increase accuracy of retrieval.