
Trip Up - SaaS Platform for Travel Planning
SaaS platform for travel planning, helping users/groups organize trips efficiently with AI-powered recommendations and itinerary management.
- Class
- ML & AI
- Baggage
Seat 01
Private repo
tripup.aiDepartures
Vishnu Gopal Rajan · Senior Software Engineer · Cepheid · Sunnyvale, CA
| Destination | Count | Status |
|---|---|---|
| Projects | 50+ | Landed |
| Domains | 03 | On time |
A collection of work spanning machine learning,
full-stack development, and data engineering.

SaaS platform for travel planning, helping users/groups organize trips efficiently with AI-powered recommendations and itinerary management.
Seat 01
Private repo
tripup.ai
Personal AI agents that run on your own PC and message you first: routines, reminders and check-ins pushed to a phone app. Each pet runs on any model (Claude, Gemini, OpenAI or a local model), keeps an editable long-term memory, and can hand work to the others.
Seat 02
Private repo

Algorithmic trading platform built on the Alpaca API for real-time market data and automated trade execution, powered by a custom machine learning model for predictive decision-making. The model continuously learns from weekly market data, retrains through backtesting, and self-optimizes to improve performance for subsequent trading cycles.
Seat 03

Autonomous self-driving robot using semantic segmentation and deep learning for real-time lane detection and path navigation.
Seat 04

Applied CNNs to detect Myocardial Infarction from ECG signals, combining computer vision with clinical data for early cardiac diagnosis.
Seat 05

Real-time face recognition system that automates attendance tracking for educational institutions using deep learning.
Seat 06

Hands-free robot control using webcam-based head gesture detection — enabling accessible, intuitive human-robot interaction.
Seat 07

Full implementation of the Stable Diffusion text-to-image model in TensorFlow, exploring latent diffusion models and generative AI from scratch.
Seat 08

Comprehensive collection of RL algorithms — from Q-learning and value iteration to policy gradients — applied to gridworlds, Blackjack, and continuous control tasks.
Seat 09

Convolutional neural network trained to classify road traffic signs, demonstrating real-world computer vision for autonomous driving safety.
Seat 10

Binary CNN classifier that detects whether a person in a photo is wearing glasses, trained on AI-generated facial image datasets from Kaggle.
Seat 11

Cross-platform recipe vault for documenting, structuring and sharing recipes, with a version history that preserves family recipes. One adaptive Flutter codebase for web and mobile on a self-hosted Supabase backend.
Seat 12
Private repo
saucita.com
Local-first, LeetCode-style trainer with 171 original problems in Python and Java, a judge that runs your code on your own machine, spaced repetition, and an optional LLM coach that reviews your code instead of handing you the answer.
Seat 13

Twitter-inspired full-stack social platform with real-time feeds, Firestore backend, OAuth authentication, and a responsive React frontend.
Seat 14

Modern Next.js landing page for Watto, an innovative platform transforming water bottle packaging into digital engagement channels, featuring scroll-driven animations.
Seat 15

Simplified, modern stock portfolio management app built with Next.js and TypeScript, featuring clean UI for tracking and managing stock holdings.
Seat 16

Pixel-perfect clone of Tesla's marketing website built to practice advanced CSS layout, scroll interactions, and responsive design techniques.
Seat 17

Full-stack portfolio management system with real-time stock tracking, performance analytics, and data visualization dashboards.
Seat 18

Algorithmic trading strategies with a backtesting framework, market trend analysis, and automated signal generation.
Seat 19

Jupyter notebook collection exploring systematic trading strategies including momentum, mean-reversion, and ML-based signal generation with backtesting.
Seat 20

NLP pipeline that scrapes financial news, performs sentiment analysis, and visualizes correlations between news sentiment and stock price movements.
Seat 21

Exploratory data analysis and interactive visualization of global population trends, demographics, and growth patterns across countries and decades.
Seat 22

Suite of big data engineering projects using Apache Spark, Pig, Hive, and GraphX for distributed processing and graph analytics.
Seat 23