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CampusClaim is a receipt-to-reimbursement assistant for student clubs and campus events, submitted for Theme 3B (Receipt Information Extraction).

We fine-tune Google’s open-weight Gemma 4 E2B vision model with Unsloth LoRA on ICDAR 2019 SROIE receipts (company, date, address, total), then compare the plain and fine-tuned models on the same frozen 100-receipt test sample. Field-level metrics show gains especially on address and date. A Gradio app supports upload/camera → extract → edit → claim draft; adapters are saved for reload. Policy RAG over official campus finance PDFs is prepared as the Theme 3 combined-approach bonus (shortlisted documents and a 15-question citation/refusal test).

Repo default branch is dev. GPU training runs on Colab T4; local checks and the OCR fallback app stay CPU-only.

Built with

gemmahuggingfacepythonunslothgradiopeftpytorchrapidocrcolab

AI tools

Coded withGitHub Copilot

Prize Categories Entered

  • Deepmind Google

    Best Use of Gemma 4

    Submitted
  • DigitalOcean

    Best Open-Source AI Project

    Submitted
  • Event prize

    Theme 3: Fine-Tuning Gemma

    Submitted