Project goal

Introduction:

Querya is an AI-powered semantic search system designed to help users retrieve accurate, context-aware information from vast collections of AI and Machine Learning resources. Unlike traditional keyword-based search tools, Querya leverages modern NLP techniques to understand the intent behind user queries and deliver relevant content from technical documents, transcripts, and articles.

Challenge:

Traditional search systems struggle to extract meaningful information from unstructured
AI/ML documents. These challenges include: 

   ● Documents are scattered across formats like PDFs, articles, and transcripts
   ● Keyword-based search fails for complex, concept-based queries
   ● Manual content navigation is time-consuming and error-prone

The goal was to build a pipeline that:
  ● Extracts and preprocesses unstructured AI/ML content
  ● Generates semantic embeddings for understanding context
  ● Enables natural language querying using vector search

Skills and deliverables:

Python, Pinecone, OpenAI API, Hugging Face Transformers, Text Chunking, PDF/Transcript Parsing, HTML, CSS, JavaScript, Bootstrap, UI/UX Design

Solution:

Querya solves the challenge of searching unstructured AI/ML content by using NLP-based semantic search. It processes PDFs and transcripts, generates embeddings with OpenAI, stores them in Pinecone, and retrieves context-aware answers via a simple web UI—making technical content easy to explore.

Conclusion:

Querya transforms the way users interact with AI and ML content by delivering intelligent, intent-based search results. With its seamless workflow and smart architecture, it enables faster, more accurate access to complex technical knowledge—paving the way for smarter learning and research.

 Results

Querya successfully enabled users to retrieve contextually accurate answers from large, unstructured datasets like PDFs and YouTube transcripts. Compared to traditional keyword searches, it significantly improved the relevance and speed of results, reduced manual navigation time, and enhanced user experience through a clean, intuitive interface.