ClientVault

This is a submission for the Hacktoberfest Open-Source AI Challenge Week 2: Side Hustle What I Built ClientVault is an offline-first tool that strips sensitive client data from contracts and invoices to generate public case studies and tax ledgers. It helps freelancers under strict NDAs safely market their work and organize finances without leaking proprietary client info to the cloud. Demo Live App: https://clientvault.onrender.com Local run: git clone https://github.com/mananmeemroth/ClientVault.git && pip install -r requirements.txt && python app.py Code Source code licensed under MIT: https://github.com/mananmeemroth/ClientVault How I Built It Built with Python and FastAPI/Gradio, powered by Google's open-weight Gemma 2 (2B) model running local inference via Ollama. Custom system prompts handle entity redaction ([CLIENT], [REDACTED]) and structured financial table extraction entirely in local memory. Why Does Open Innovation Matter? Uploading NDA-protected documents to closed cloud APIs breaches client confidentiality and carries per-token costs. Running Gemma locally guarantees zero data leakage outside the device and costs nothing per run. My Agent Session Used an AI pair-programmer to craft the entity-redaction prompts for Gemma and generate the turnkey render.yaml configuration for one-click deployment. My First User A freelance software consultant tested it on a confidential fintech SOW to draft an anonymized portfolio case study. He confirmed he would pay a one-time $20 fee for an offline tool that protects him from NDA breach disputes. Prize Categories Hacktoberfest Open-Source AI Challenge Week 2: Side Hustle Best Use of Gemma Best Use of Render