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๐ Designing for reliability & zero-fluff engineering.
Currently polishing a personal remote AI orchestration chatbot built on First Principles. The focus is entirely on a "low-bug" enterprise architecture, clean state management, and continuous delivery via custom CI/CD pipelines.
In a space crowded with over-complicated tools, keeping the core system predictable and production-ready is the real challenge. Whatโs on your stack today?๐
#WebDevelopment #AIOrchestration #CleanArchitecture #Flutter #Kotlin
The network for creativity
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Introducing AI-Powered Scholarship Guidance Platform
๐๐ ๐๐๐ก๐จ๐ฅ๐๐ซ ๐๐ฎ๐ง๐ญ
Proud to present AI Scholar Hunt, my Final Year Project developed with ๐. ๐๐๐ฒ๐ฒ๐๐ ๐๐ฎ๐ง๐๐ข๐ซ at Khwaja Fareed University of Engineering & Information Technology (KFUEIT).
๐๐ ๐๐๐ก๐จ๐ฅ๐๐ซ ๐๐ฎ๐ง๐ญis an intelligent platform designed to simplify the international scholarship journey for students through the power of Artificial Intelligence, NLP, and Generative AI.
๐๐ข๐ฏ๐ ๐๐ฉ๐ฉ: https://asad-aziz-ai-scholar-hunt.hf.space/
โจ๐๐๐ฒ ๐
๐๐๐ญ๐ฎ๐ซ๐๐ฌ:
โข ๐ค AI Chatbot for scholarship-related guidance
โข ๐ Smart document checklist generation
โข ๐ฏ Personalized scholarship recommendations
โข ๐ ATS Resume Analyzer with improvement suggestions
โข โฐ Deadline tracking & application reminders
โข โ๏ธ Scholarship comparison module
โข ๐ Secure user authentication & profile management
๐ ๐๐ฎ๐ข๐ฅ๐ญ ๐๐ข๐ญ๐ก:
Python โข Flask โข SQLite โข Generative AI โข RAG (Retrieval-Augmented Generation) โข NLP โข HTML โข CSS โข JavaScript
๐ฏ ๐๐ซ๐จ๐๐ฅ๐๐ฆ ๐๐โ๐ซ๐ ๐๐จ๐ฅ๐ฏ๐ข๐ง๐ :
Many students struggle to understand scholarship requirements and often rely on expensive consultants. ๐๐ ๐๐๐ก๐จ๐ฅ๐๐ซ ๐๐ฎ๐ง๐ญ provides a smart, affordable, and accessible solutionโhelping students prepare documents, evaluate eligibility, and discover opportunities with confidence.
๐ก๐๐ข๐ฌ๐ข๐จ๐ง:
To empower students worldwide with intelligent scholarship guidance and make global education opportunities more accessible.
#AI #GenerativeAI #NLP #Flask #Python #FinalYearProject #ScholarshipGuidance #WebDevelopment #StudentInnovation
Automated Multi-Agent AI Support & Lead Triage Pipeline
Are your high-ticket clients waiting hours for an email response? This intelligent multi-agent n8n workflow instantly screens, analyzes, and responds to customer emails in real-time, utilizing advanced RAG (Retrieval-Augmented Generation) to deliver human-like support instantly.
Project Overview:
This is an enterprise-grade AI automation system designed to eliminate manual customer support queues. Instead of simple auto-replies, it uses a multi-agent routing structure combined with a dynamic knowledge base to handle complex inquiries autonomously.
How It Works (Under the Hood):
Instant Inbound Triage: A Gmail Trigger catches incoming emails instantly, extracting raw content for processing.
AI Intent Classification: An initial OpenAI model acts as a gatekeeper, analyzing the email to determine if it is a valid customer support request or irrelevant noise.
Conditional Routing: An advanced router splits the path: non-support emails receive a polite automated Telegram update, while actual support tickets are routed to the main AI engine.
Context-Aware AI Agent: The core Customer Support Agent is equipped with an OpenAI Chat Model, conversational memory, and a custom Vector Store Tool.
Pinecone RAG Integration: The agent queries a Pinecone Vector Database (powered by OpenAI Text Embeddings) to fetch real-time, accurate company documentation and context, eliminating hallucinations.
Automated Action & Response: Once the resolution is drafted, the system automatically creates a draft in Gmail for review and sends an instant internal notification via Telegram.
Why This Wins Clients (The Value Pitch):
Zero Hallucinations: Connected to a live vector database (Pinecone) so the AI only speaks from approved company data.
Reduced Overhead: Cuts down customer support response times from hours to under 60 seconds.
Production-Ready Architecture: Designed with modern n8n AI sub-nodes, structured tools, and modular scaling capabilities.
Hey Contra ๐ I've been heads-down building Promptly, and I'd love your eyes on it before our launch.
From my time delivering over 20 software projects as a tech lead, I realized the biggest bottleneck in building an app isn't the code itself. It is communication. Founders speak in ideas, and developers speak in strict logic.
Here is how Promptly works. You just describe your app idea in plain English. The AI actually pushes back, asks the hard questions, catches the vague bits, and automatically writes a developer-ready blueprint as you chat.
The goal is simple. When you hand this document to a developer, the next thing you get back is an accurate, fixed-price quote. No more wasting days trying to draft technical specifications and sitting through endless rounds of discovery calls just to get on the same page.
Instead of staring at a blank document, you get three tools that update in real-time:
The Pushback Chat: It refuses to just nod along. If you say "make it fast and secure," it helps you define exactly what that means. It hunts down edge cases before you ever pay someone to fix them.
The Visual Map: A live, interactive diagram showing exactly how your features connect. It catches logic flaws and missing steps before any code is written.
The Living Blueprint: An auto-generated, professional project spec that exports straight to Notion, Linear, or PDF.
Plus, it gives your idea a "Developer-Readiness Score" out of 100 so you know if it is actually ready to build. It even recommends the best tech stack based on your specific budget and complexity.
The core engine and all of these interactive features are fully functional right now, but I am still smoothing out the final rough edges. I am aiming for a public launch in about three weeks.
Where I need your help. I have three quick questions:
Where would you want to export your project blueprint, beyond Notion, Linear, or PDF?
What is the biggest headache you face right now when trying to explain your ideas to developers?
What feels missing? The blind spots are the most valuable to me right now.
Any feedback on new features, improvements, or things I should kill entirely would be hugely appreciated. Drop a comment below.
Thank you for taking a look ๐
building solo, in public
Product ManagementFull Stack DevelopmentSoftware DevelopmentWeb DevelopmentAI DevelopmentClaudeNext.jsFigma
This is a very interesting concept! Where did you design the UI/UX? I feel like a better choice of font is still out there. Overall good work and clean UI. ๐ฅ
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