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We built a 2-stage pipeline that uses CNN-based OCR to read noisy scanned documents, then compresses the extracted text with custom adaptive Huffman coding and restores it losslessly.
Real-time dashboard ranking content by engagement (likes, shares, saves). Shows distribution, outliers, volatility to track performance over time. Built with FastAPI + vanilla JS.
2-Stage Neural Compression Pipeline that ingests a noisy scanned document image, extracts its text using a CNN, and compresses the output using adaptive Huffman encoding.
Real-time leaderboard with live rankings, score velocity tracking, auto badges, advanced stats, performance monitoring, and submission history, built with Node.js, React, MongoDB Atlas, and Docker.
A high-performance leaderboard designed for real-time ranking at scale, using a custom skip list and streaming statistics to keep rankings, percentiles, and analytics fast even under constant updates.
Attend events. Earn points. Top the board. EngageIU turns campus participation into friendlycompetition, so showing up actually means something.
Custom OCR + Adaptive Huffman for accurate, lossless text compression
Where in the World? A geography trivia game where AI generates the clues, you race to guess the country, and a live leaderboard keeps the competition global
Track the heart of transportation @btown
Score. Rank. Lead.
An end-to-end pipeline that reads noisy scanned documents with a custom-built neural network and compresses the output using a custom Adaptive Huffman encoder; all from scratch, no external libraries.
From Noisy Scan to Optimized Data: A High-Performance Neural Pipeline
Replay the Little 500 in our simulation leaderboard powered by Vite, Node.js, and SQLite
Real-time Android app that tracks every Bloomington Transit bus live, shows schedules with predicted arrival times, and updates every 10 seconds using BT's public API.
A self-hosted open-source leaderboard with a focus on speed and efficiency
We teach machines to read noise and forget nothing, a CNN that deciphers corrupted digits fed into a compression engine that shrinks the output without losing a single bit.
An end-to-end pipeline that converts noisy document images into text using a CNN-based OCR system with denoising, followed by lossless compression using a custom Adaptive Huffman algorithm.
Smart cities like Singapore invest in infrastructure monitoring. We built a real-time pipeline streaming sensor data via Kafka + Flink to score city health every 5s, detecting failures and cascading.
Team name : Give us internship Takes scanned document images and automatically extracts their text using OCR, then compresses that text using Adaptive Huffman encoding, all in a single API call.
Stop guessing — know if you’ll make your bus. We use real time data and walking distances to calculate your bus's arrival time ensuring you can always make your bus.
Built by Shatterspleen. Know where your bus actually is - Easy Transit tracks every BT route in real time, surfaces service alerts, and shows full schedules. No refresh needed.
Noisy scanned document → extracted text → compressed bytes — two microservices, built from scratch
A real-time transit app that tracks Bloomington buses live, shows routes on an interactive map, and keeps riders one step ahead of their next stop.
Real-time bus tracking app for Bloomington Transit built with React Native and Node.js. Track buses, plan trips, and get live arrival times using official GTFS data feeds.
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