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Inkly — Stories That Inspire the Digital Age
Inkly is a modern blogging and content platform designed for writers, creators, and thought leaders who want their stories to stand out. Built with a clean, editorial-first design, Inkly focuses on readability, storytelling, and immersive user experience.
The platform offers thoughtfully structured layouts that highlight long-form content, featured articles, and author insights without distractions. Typography-driven design, balanced spacing, and smooth transitions create a calm and engaging reading environment.
Category
AI Agency
Services
Web Design
Client
Framer Template
Year
2024
The platform offers thoughtfully structured layouts that highlight long-form content, featured articles, and author insights without distractions. Typography-driven design, balanced spacing, and smooth transitions create a calm and engaging reading environment.
Our Projects
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SQL Databricks Data Warehouse
TPC-H Data Warehouse Pipeline
Modern ELT pipeline using Airflow, dbt, and Snowflake built on the TPC-H benchmark dataset (SF1).
Flight Medallion ETL Data Pipeline
ETL pipeline that collects and processes real-time global flight data using Apache Airflow, Docker following a Medallion data architecture.
RAG Chatbot for Flower Shop Recommendations
A Naive RAG chatbot that recommends flower shop products using semantic search on embedded product data. It features a Streamlit interface, a Scrapy-based data scraper; a backend including MongoDB vector search for retrieval, an LLM via OpenRouter; and a Flask API that connects the frontend with the backend.
Churn Prediction and Recommendations
Automated Spreadsheet Dashboards
Automate Google Sheets to create dashboards that track teams’ sales leads, Marketing campaigns, sales overview and more.
Sequential Recommender System for Video Recommendations
e-Commerce Customer Analytics Dashboard
Employee Attrition Dashboard & Analytics
Dashboard that analyzes employee attrition root causes by leveraging a detailed analysis process, advanced Power BI features, and Machine Learning for Churn Prediction.
Made with Bullet