The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
Back to feedPost
Built a web-based Leave Management System to simplify employee leave requests and management.
The application provides a structured interface for submitting and managing leave requests, with a FastAPI backend connected to PostgreSQL for data storage and a Streamlit frontend for user interaction.
Built with: Python, FastAPI, PostgreSQL, Streamlit, and REST APIs.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
Related posts
I designed and built this real-time orbital situational awareness dashboard for Kessler Watch.
Communicating the density of low Earth orbit debris without sacrificing browser performance required bridging scientific telemetry with optimized WebGL rendering. Simulating over 500 cataloged satellites, spent booster stages, and fragmentation clouds around an interactive globe with dynamic close-approach warnings, scrubbable timeline controls, and altitude distribution graphs turned raw tracking metrics into an urgent, tactile space-surveillance experience.😊
I conceptualized and engineered this interactive manuscript recovery interface for Palimpsest Lab .
The build bridges the gap between archival scholarship and technical UI, pairing classical book typography with real-time multispectral simulation. Crafting a live wavelength scrubber that sweeps from 365 nm ultraviolet fluorescence to 940 nm infrared; letting visitors uncover an erased fifth-century Greek geometry treatise hidden beneath a medieval Latin prayer book; turned scientific telemetry into a hands-on story where every control has a clear, functional purpose.
Agent Evaluation Dashboard — Full-Stack LLM Observability Tool
Teams running AI agents in production need visibility into how those agents actually perform not just whether they respond, but how accurate, fast, and cost-efficient they are. I built a full-stack observability dashboard to solve exactly that: a single place to track accuracy, latency, API cost, and schema compliance across multiple LLM models and agent types.
What I built
A responsive Next.js (App Router) frontend styled with Tailwind CSS — deep purple sidebar, live accuracy/latency charts (Recharts), filterable eval-run tables, and per-model performance comparisons
A Python FastAPI backend serving the dashboard's data layer, with token-based authentication protecting every route
Full session handling: login, protected pages, automatic redirect for unauthenticated users
A fully responsive layout collapsible drawer sidebar on mobile, reflowing grid on tablet/desktop
