Project Info
This project did not submit a demo video on Devpost.
Inspiration
The inspiration behind Matcha stemmed from our collective frustration with the overwhelming nature of email overload. We envisioned a tool that could streamline the email sorting process.
What it does
Matcha utilizes LLMs to automatically categorize and prioritize incoming emails based on their content and context. Matcha intelligently sorts emails into relevant folders, and identifies summaries.
How we built it
We had malvyn learn react to build the frontend, while ayush and justin worked on the backend and making a flask server to serve requests.
Challenges we ran into
It was really hard to get the llm's working and we ended up not having enough tokens to actually do anything useful which sucked becuase it broke for the demo. also using the gmail api was hard
Accomplishments we're proud of
in the end we were really happy to get the gmail api working, that was really cool and just working on making a good looking slick user interface
What's next
we wanted too make it even better and actually integrate the llm's properly into everything.
treehacks project justin wu malvyn lai ayush nayak
Make sure to commit everything!!!
Deployment via Cloudflare
Once pushed, Cloudflare will be triggered to push to Cloudflare pages. If you do not see a site being published, check for build errors, and if there are none, commit something random, like an edit to this readme (add a space somewhere) to force a re-rebuild. If that doesn't work, contact Ayush.
Links
Analysis
View
Metric
- 4
Figures cover GitHub contributors during the hackathon window. A co-authored commit counts in full for each author, so per-member totals add up to more than the whole-team figures.
Technology
- CSSIn code
- HTMLIn code
- JavaScriptIn code
- PythonIn code
- FlaskClaimed
- Node.jsClaimed
- ReactClaimed
4 of 7 appear in the indexed code. 3 claimed on Devpost could not be matched to code, which may simply mean the tool leaves no trace in the repository.
AI coding agents
No AI coding agent signals were found in this repository.
Detected from committed agent config files and commit authorship. Absence of a signal is not proof an agent was unused.
Codebase size
Source size
122 KB
Source files
28
Counts recognized source files only; vendored directories, binaries and lockfiles are excluded, so this is smaller than the repository on disk.
Repository
Shad0wSeven/treehacks
40 files · 736 KB · @ 6c23411
Structure
Interface
12 files · 30%Screens, components and styles rendered to the user.
Application logic
14 files · 35%Domain rules, services and shared utilities.
Supporting
Layers are inferred from where files sit in the tree, not from reading the code. A project that names its directories unconventionally will read oddly here — open the file browser to check anything the diagram implies.
Languages
- JavaScript61%
- Python24%
- CSS13%
- Markdown2%
- HTML1%
Share of indexed source by file size. Binary and vendored files are excluded.
This project’s features have not been analysed yet.
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