Document Search with Semantic Index
Advanced6–9 weeks

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
- Define project requirements and technical constraints.
- Prepare architecture, flowcharts, and component or module list.
- Implement the core feature in small verifiable stages.
- Test errors, edge cases, and recovery behavior.
- 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
