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FILE STRUCTURE

  • dataset: our curated dataset for benchmarking coding agents.

  • fine_tuned_models.txt: contains the link for the T5 models we fine-tuned for context filterer tool and complexity evaluator tool.

  • 53_h3_pathway_endterm.pdf: our end-term report.

  • Team_53_Summary_video.mp4: Summarizes Me-QT5 and complete workflow of it.

  • Me_QT5: Our final pipeline.

  • working_demo.mp4: Working demo of our ui applicaition.

Contributors:

  • Karaka Prasanth Naidu
  • Samyak Jha
  • Manav Jain
  • Tanmay Singhal
  • Harshvardhan Saini
  • Ashaz Khan
  • Sagnik Pal
  • Shresth Sharma

About

This is the project made for Inter IIT Tech Meet 13.0 for high prep problem statement on Agentic RAG

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  • Python 99.0%
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