AI-powered travel planning system with budget optimization, multi-source search, and personalized recommendations built on Vercel AI SDK v6, Supabase + PGVector, Upstash Redis + QStash, and NextJS 16, TailwindCSS

Karpiu is a package designed for marketing mix modeling by calling Orbit from the backend. Karpiu is still in its beta version. Please use it at your own risk.

🧳 A state-of-the-art multi-agent travel planning system powered by OpenAI Agents SDK and LangGraph orchestration. Leverages Stagehand/Playwright for browser automation, Supabase for data persistence, and Firecrawl/Tavily for intelligent research.

Marketing Mixed Modelling using PyMC3-Marketing

🌍🔍 Comprehensive GeoSpatial environmental data analysis, focusing on dissolved carbon & greenhouse gases. Includes advanced data processing, analysis, and budget optimization.

This repository contains the links to Medium Articles written by me on topics like Digital Marketing Analytics, Data Science & Deep Learning

Comprehensive performance marketing optimization strategies covering modern paid advertising, ROI maximization, and campaign optimization methodologies. Maximize marketing performance and profitability.

A new package that analyzes user-provided text descriptions of their monthly expenses and income to generate a structured affordability assessment. It categorizes spending, identifies potential saving

💰 Analyze your monthly expenses and income with BudgetScribe to categorize spending and identify savings, all without sharing sensitive data.

Modular Marketing Mix Modeling tool for optimizing marketing budget across channels.

A Marketing Mix Modeling (MMM) project using Python to analyze channel performance, calculate ROI, and simulate marketing budget changes for better business decisions. Includes a trained Linear Regression model, ROI analytics, and a Flask API for revenue prediction.

MOCA-Net: Novel neural architecture with sparse MoE, external memory, and budget-aware computation. Real Stanford SST-2 integration, O(L) complexity, 96.40% accuracy. Built for efficient sequence modeling.

🧳 Automate travel planning with AI-driven multi-agent technology for personalized trips, optimized budgets, and real-time data insights.