Inspiration
Managing project trackers alongside a mountain of paper or digital receipts can be chaotic. We wanted to build a seamless solution where users can just snap a picture of a receipt, and an intelligent system automatically extracts the insights and maps them directly to project management tracking.
What it does
Insight Snap is a multimodal AI application that allows users to upload receipts or document images. It instantly extracts key financial data, items, and metadata, and populates them into a structured project tracker dashboard. This helps teams and individuals monitor expenses and project updates simultaneously without manual data entry.
How we built it
Frontend/UI: Built entirely using Streamlit for an interactive and clean user interface. AI Core: Powered by Google's Gemini 2.5 Flash model for quick, robust multimodal text and vision processing to read raw receipt data. Language: Written in Python.
Challenges we faced
One of the main challenges was accurately parsing data from different layouts of receipts (blurry text, varied formats). We optimized our prompts and leveraged the multimodal capability of Gemini 2.5 Flash to ensure highly accurate structured text extraction.
What we learned
We learned how to efficiently handle image data in Streamlit and how to seamlessly pass image blobs to the Gemini API for ultra-fast processing.
What's next for InsightSnap – Smart Receipt & Project Tracker
We plan to add automated currency conversion, multi-user workspace collaborations, and deeper integrations with standard project management tools like Jira or Trello.
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