Projects

Grill & Go sandwich shop app screens

Grill & Go

Full-stack app for a sandwich shop pairing a static frontend with an Express API layer backed by MongoDB.

  • Menu, orders, promotions, and employees via REST APIs
  • Customer authentication with persistent profiles
  • Modern UI with admin and shopper flows
View on GitHub →

LostNFound

Full-stack platform for Northeastern community to report, browse, and reclaim lost items from a unified dashboard.

  • Post new finds with photos and details
  • Search and filter active listings
  • Profile dashboard to manage submissions
View on GitHub →
LostNFound lost and found portal interface
Calendar application screenshot

Calendar Application

Desktop calendar with events CRUD, recurring schedules, reminders, multiple calendars and time zones.

  • Month / Week / Day views
  • Clean MVC and OOP design
  • Reminders & recurrence rules
View on GitHub →

AI Semantic Search

Sentence-Transformers + FAISS on AG News. High recall@10 with smaller index and lower latency than exact search.

  • FAISS: FlatIP / IVF-Flat / IVF-PQ
  • Evaluation: recall@k, index size, latency
  • Reproducible experimentation workflow
View on GitHub →
AI semantic search visuals
San Francisco Airbnb analysis charts

SF Airbnb Listings Analysis

EDA on San Francisco listings — pricing patterns, neighborhood trends, and availability signals.

  • Cleaning, feature engineering, visualization
  • Price & occupancy trends by neighborhood
  • Clear charts with takeaways
View on GitHub →

Sport Celebrity Image Classification

Computer vision classification project focused on identifying sports celebrities from image inputs.

  • Image preprocessing and feature extraction pipeline
  • Model training and evaluation workflow
  • Prediction-ready project structure
View on GitHub →
Sport celebrity image classification project preview
Real-time 2D object detection project preview

Real-Time 2D Object Detection

Real-time object detection pipeline for identifying and localizing 2D objects in image or video streams.

  • Detection pipeline tuned for responsive inference
  • Bounding-box based object localization
  • Structured setup for experimentation
View on GitHub →

Brainstorm BCI Track 1

Brain-Computer Interface (BCI) challenge project focused on signal-driven classification and interpretation.

  • Data processing workflow for biosignal inputs
  • Modeling pipeline for track-specific objectives
  • Reproducible experimentation setup
View on GitHub →
Brainstorm BCI Track 1 project preview