my projects.

Passionate about building high-performance and scalable web applications. I thrive on solving complex problems, optimizing performance, and creating intuitive user experiences. My expertise lies in Next.js, TypeScript, and Cloud technologies, with a strong focus on delivering quality solutions.

BrainTumorDetection
  • Built an end-to-end deep learning pipeline to classify brain tumors from MRI scans using transfer learning with ResNet50.
  • Processed raw .mat medical imaging data into structured datasets and trained a multi-class classification model.
  • Integrated the trained model into a Flask-based web application for real-time predictions.
  • Optimized deployment by hosting the model externally and dynamically loading it to reduce memory usage.
  • Python
  • PyTorch
  • Flask
  • Deep Learning
  • Computer Vision
  • ResNet50
  • Docker
  • HTML/CSS
  • Jinja2
WildFire Tracker
  • A real-time wildfire tracking system that visualizes global fire events using NASA’s EONET API with zero-cost, open data access.
  • Includes an interactive map with dynamic markers, advanced filtering (time range, status), and a synchronized event list with live statistics.
  • Designed for fast rendering and intuitive exploration, enabling users to monitor wildfire patterns and drill into individual incidents effortlessly.
  • React
  • Leaflet
  • NASA EONET API
  • CSS Modules
Movie Recommendation Engine
  • Developed a full-stack movie recommendation system using TF-IDF, cosine similarity, and KNN to deliver personalized recommendations
  • Integrated the TMDB 5000 dataset to scale the system from a small demo to a real-world dataset with over 5000 movies
  • Implemented dynamic poster fetching using TMDB API and optimized data processing using parallel API requests
  • Built a Flask-based REST API with multiple endpoints for search, recommendations, and similarity comparison
  • Designed a cinematic dark-themed UI with responsive layout and real-time interactions
  • Python
  • Flask
  • scikit-learn
  • Pandas
  • NumPy
  • JavaScript
  • HTML
  • CSS
  • TMDB API
  • Render
ZeroSetup
  • Built a CLI tool that instantly generates full-stack development environments using Docker, eliminating repetitive setup time
  • Supports multiple templates including React + Node.js + PostgreSQL, MERN stack, and Flask-based architectures
  • Automates project scaffolding, dependency setup, and container orchestration with a single command
  • Designed for hackathons and rapid prototyping to help developers start building immediately instead of configuring environments
  • Python
  • Docker
  • CLI
  • Node.js
  • React
  • PostgreSQL
  • MongoDB
  • Flask
ThoughtBubbleAnnihilator
  • Thought Bubble Annihilator is a Chrome extension that detects when you stop interacting with your browser (inactivity after 5 seconds). It responds by spawning multiple, huge annoying GIFs all over the page—with meme sound effects—for maximum distraction.
  • JavaScript
Lost & Found
  • Whether you’ve lost your ID card in the library or found a phone in the cafeteria — Campus Lost & Found makes it effortless to report and recover items on campus. Using Firebase and Google AI, the platform enables a smarter, faster, and more reliable way to reconnect people with their belongings.
  • Vite
  • Vanilla JS
  • CSS Modules
  • Firebase Firestore
  • Firebase Hosting
  • Gemini API

Let's work together.

I'm always interested in new opportunities and exciting projects. Whether you have a project in mind or just want to chat about tech, I'd love to hear from you.

Currently available for freelance work and full-time opportunities

Response time: Usually within 24 hours

© 2026 Neeraj Rajeev. All rights reserved.