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I designed and developed a complete AI Interview Intelligence Suite that brings 10 specialized AI agents together within a single platform.
Instead of building a single chatbot, I created a coordinated multi-agent system where each agent focuses on a specific stage of the interview journey—from resume preparation and company research to technical practice, behavioral interviews, mock interviews, question prediction, and salary negotiation.
The platform includes AI Interview Coach Pro, Live Coding Interview, Behavioral Interview Trainer, Salary Negotiation Coach, Technical Question Bank, Resume Tailoring Tool, Mock Interview Assistant, Interview Cracker, Interview Question Predictor, and Company Research Assistant.
The system was developed primarily for educational and practical interview preparation, with a focus on creating specialized AI experiences rather than relying on one general-purpose assistant.
Tech Stack: Python, Node.js, RAG, AI/LLM APIs, and Multi-Agent Architecture.
The network for creativity
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What I love about AI is the creative freedom it offers. In the past, we were limited by budget or resources. Today, if I want a scene featuring a pink convertible, I don't necessarily have to rent one, just the right prompt, and it's done. I can create campaigns all over the world without leaving my workspace, and that’s what’s amazing.
pretty visual
Niva - AI Automation Agency Template (Contact page)
📌 What's Included
13+ fully designed pages, covering the entire buyer journey:
Home — hero, problem/solution framing, services, industries served, integrations, process, stats, case study previews, testimonials, pricing, FAQ, and final CTA
About — origin story, mission, values, team, and company stats
Services — a full breakdown of each service line with outcomes and use cases
Case Studies — a CMS-powered index plus a detailed single-case-study template (problem → approach → solution → results)
Blog — a CMS-powered index and article template, ready for SEO content
Contact — a conversion-focused form paired with direct calendar booking
404, and legal pages — Privacy Policy, Terms of Service, and Cookie Policy included
📌 Ideal For
AI automation agencies and consultancies
Workflow automation specialists and system integrators
Custom AI agent developers
AI strategy and operations consultants
Freelance automation experts positioning as a boutique agency
SaaS companies offering AI-powered services to B2B clients
Framer Website DesignFramer Website DevelopmentLow-Code/No-Code DevelopmentFramerFigmaAdobe Illustrator
Professional work
What if your PC could actually listen, understand, and do the work for you?
I’m building that idea into something real.
Meet AURA — my personal AI voice assistant for Windows.
Instead of building another chatbot that only answers questions, I’m experimenting with an AI agent that can actually interact with my computer and help with everyday work.
So far, AURA can:
• Have live voice conversations
• Convert speech to text and respond with voice
• Open applications like Excel, Power BI, Chrome, and Windows Settings
• Search the web and YouTube through voice
• Perform basic PC and file operations
• Understand requests through Gemini
• Execute actions through a safety-controlled automation layer
• Continue listening after completing a task
But this is only the beginning.
My long-term goal is to make AURA understand my actual workspace — including what’s happening on my screen and inside applications — so I can simply say:
“Open my Excel file, check the sales data, clean the date column, and add a formula for total revenue.”
And let AURA handle the workflow.
I also want it to become useful for my own Data Analytics work — from Excel and Power BI workflows to repetitive desktop tasks, research, and automation.
I’m building AURA with Python, AI, voice technologies, desktop automation, Excel, Power BI, and LLMs, while keeping safety and human control at the core.
It’s still far from the final vision.
But that’s exactly what makes the project interesting.
I’m not just learning how AI agents work.
I’m trying to build one that I can actually use every day.
Building in public. Learning by building. 🚀
#AI #AIAgents #Python #AIAssistant #VoiceAI #DesktopAutomation #DataAnalytics #PowerBI #Excel #Automation #BuildInPublic
The screen-reading step is where I would put the guardrail. Once AURA can read what is in the window, everything on that screen is input - and a page it opened from a voice search can hold a sentence written to be read as an instruction. I spent a while trying to rob my own...