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Document Search with Semantic Index

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Computer / ITMini Project

Document Search with Semantic Index

Advanced6–9 weeks
Document Search with Semantic Index concept illustration
Illustrative concept image — actual assembly may differ.

Project Overview

Build a small search engine with grounded snippet references.

Objectives

Local documents; semantic search; citations

Required Hardware / Software

Python, embeddings, SQLite

Development Plan

  1. Define project requirements and technical constraints.
  2. Prepare architecture, flowcharts, and component or module list.
  3. Implement the core feature in small verifiable stages.
  4. Test errors, edge cases, and recovery behavior.
  5. Document results and prepare the demonstration and viva.

Testing Checklist

  • Check normal operation and expected output.
  • Test invalid input, disconnections, and relevant fault cases.
  • Record measurements or screenshots as appropriate.
  • Document limitations, security, and operating conditions.

Deliverables

Architecture or circuit diagram, annotated code, screenshots or measurements, test report, documentation outline, and demonstration.

Educational project concept with an illustrative image, not a photograph of a completed customer project. Implementation details must be verified before practical use.

Project CodeTCS-CIT-017
Duration6–9 weeks
DifficultyAdvanced
ComponentsPython, embeddings, SQLite
Software / ToolsPython, embeddings, SQLite
Skills CoveredLocal documents; semantic search; citations
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