Accelerating Innovation in Real-Time: A Journey into AI-Driven Automation
In this article, I’ll share the stories behind these projects—what inspired them, the technologies that power them, and the unique process I follow to bring them to life.
In today’s fast-paced digital world, speed isn’t just a metric—it’s a way of life. Whether it’s handling complex queries, monitoring network health, or streamlining everyday tasks, the ability to react instantly is a competitive edge. Over the past few months, I’ve immersed myself in creating a suite of AI-driven tools designed to address very specific challenges in real time. You can explore all these tools on my hub at minitools.dev.
In this article, I’ll share the stories behind these projects—what inspired them, the technologies that power them, and the unique process I follow to bring them to life. This journey also includes insights into industry-specific innovations like PortsIndex, a proprietary solution for port scanning and airline network asset discovery.
My Development Process: From Idea to Deployment
Every project starts with a clear plan and a vision for solving a problem. Here’s how I take an idea from concept to a fully deployed, robust solution:
Conceptualization & Requirement Documentation: I begin by penning down a high-level solution outline. I then leverage Claude to generate a detailed requirements document—complete with resource planning and estimated timelines. This step ensures that every aspect of the project is thought through before any code is written.
Rapid Prototyping with v0.dev: Using the detailed requirements, I head over to v0.dev to quickly generate between 2 to 6 iterations of the web or app service. Here, I specify the exact technologies to be used—for instance, Supabase for the database, Clerk for authentication, and HeroUI for UI components etc. This rapid iteration process helps me quickly evaluate different approaches and settle on a design that meets the project’s needs.
Local Development & Stabilization: Once I’m satisfied with the prototype, I download the generated code and refine it locally. I use a paid plan on Cursor IDEs (by Anysphere ) to further stabilize the application. This phase involves rigorous testing and iterative improvements until the code is deployment-ready.
This structured process—from ideation through rapid prototyping to final stabilization—allows me to bring complex solutions to market with speed and precision.
That said, yes, there are always better solutions out there, but these help me build quickly and cost-effectively as I develop them locally.
Project Insights:
Deepseek-AI-Bot: Rethinking Query Resolution with Intelligent Chains
Imagine having a conversation with a system that not only understands your questions but also adapts its responses as your context evolves. That’s the promise of Deepseek-AI-Bot. Built in Python with FastAPI for high-performance REST API responses, this project integrates advanced natural language processing via Hugging Face Transformers and PyTorch for efficient model inference.
A true game-changer is its integration with LangChain, which manages complex chains of language interactions, ensuring coherent and contextually relevant responses. Containerized with Docker, Deepseek-AI-Bot scales effortlessly from local setups to cloud deployments, making it a robust solution for real-time query resolution.
Repo: https://github.com/sahaib/Deepseek-AI-Bot
DNS-Analyser: Safeguarding the Backbone of the Internet
In the realm of cybersecurity, any downtime can be catastrophic. DNS-Analyser is a Python-based tool built to scrutinize DNS records in real time, helping network administrators and cybersecurity professionals stay ahead of potential threats.
Using dnspython for comprehensive DNS queries and Pandas for data manipulation, DNS-Analyser transforms raw data into actionable insights. A lightweight Flask web interface makes these insights readily accessible, while Docker ensures hassle-free deployment and scalability.
Repo: https://github.com/sahaib/DNS-Analyser
IP-Analyser-NextJS-App: Bringing AI Precision to Bulk IP Data
For organizations that process vast amounts of IP data, traditional methods simply aren’t enough. IP-Analyser-NextJS-App marries bulk data processing with AI-driven insights.
The frontend, built with Next.js, ensures a fast, responsive user experience, while the Node.js/Express-powered backend communicates with the Claude API to deliver nuanced IP reputation reports. Styled with Tailwind CSS and supported by Docker-based CI/CD pipelines, this application is designed to evolve alongside today’s dynamic digital landscape.
Repo: https://github.com/sahaib/IP-Analyser-NextJS-App
Simple Python version Repo: https://github.com/sahaib/IP-Analyser
Google-Calendar-Add-Guest: Automating the Everyday
Even in our busy lives, efficiency matters. Google-Calendar-Add-Guest automates the process of adding guests to Google Calendar events, turning a tedious task into a streamlined operation.
Developed in JavaScript/TypeScript and running on Node.js with Express, this tool leverages Google’s OAuth 2.0 and Calendar API for secure integration. Containerized with Docker, it transforms routine scheduling into an efficient, automated process that saves valuable time.
Repo: https://github.com/sahaib/Google-Calendar-Add-Guest
Polirizer & PolirizerBackend: Transforming Media and Data Processing
In an era where content and social app services are king, Privacy Policies and Terms of Use is critical. The Polirizer Chrome Extension—comprising a Javascript-powered frontend and a Python backend—addresses this need head-on.
Polirizer uses AI like Claude, GPT, and Gemini to read the Privacy Policies and Terms of Use give as URLs or plain text and summarizes the complex legal jargon bundle of policies in simple layman terms, also listing out which is dataset is used by the respective services.
More details of this project: https://www.linkedin.com/pulse/from-idea-reality-cursor-ai-sahaib-singh-vsgef/
Repos:
https://github.com/sahaib/Polirizer
https://github.com/sahaib/PolirizerBackend
PortsIndex: A Glimpse into Industry-Specific Innovation
While many of my projects are open source, the industry also thrives on specialized proprietary solutions. One such tool is PortsIndex, a dedicated solution for port scanning and network asset discovery.
Unlike the community-driven projects, PortsIndex offers precision and proprietary insights, a comprehensive solution for maritime and aviation data. Access UN/LOCODE data, calculate distances, analyze routes, and make informed decisions with the powerful tools build in the app.
It consists of,
Port Lookup
Distance Calculator
Bulk Operations (Distance Calculator, but in bulk)
Nearby Search
Airport Information (With real time schedules from FlightAware)
Airline Analytics
Visit the site and try out https://portsindex.com
Looking Ahead: The Future of Real-Time Automation
From intelligent query resolution with Deepseek-AI-Bot to robust network diagnostics with DNS-Analyser, and from bulk IP processing to streamlined scheduling and media management—the tools I develop are a testament to the transformative power of AI-driven automation. With a process that emphasizes planning, rapid prototyping, and rigorous stabilization, I’m continuously pushing the boundaries of what’s possible in real time.
I invite you to explore these projects at minitools.dev and join the conversation. Whether you’re a developer, a network professional, or simply someone passionate about innovation, there’s always something new to discover.
Let’s connect on LinkedIn to share insights, explore collaborative opportunities, and build a future where real-time AI automation isn’t just an aspiration—it’s a reality.