AI Powered - Smart Search System (AIP-S³)

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  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.

Built With

• natural-language-processing
• nltk
• python
• spacy
• streamlit