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Hi everyone! š
I'm new to @Contra, so I thought I'd introduce myself.
I'm Umaima Iqbal, a Computer Engineering student at UET Lahore with a strong interest in AI, automation, and web development.
I'm currently focused on learning by building real projects, improving my skills every day, and sharing my journey along the way.
Some of my recent offline AI automation projects include:
ā¢ Aura Sort
ā¢ Aura Chat
ā¢ Aura Sum
ā¢ Aura Extract
Each project is designed to work completely offline, with a focus on privacy, efficiency, and practical use cases.
I'm excited to connect with developers, creators, and professionals, learn from the community, and contribute through meaningful projects.
Looking forward to connecting with you all! :
How are you all?š
ā¢ Jul 6
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The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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Huge congratulations on hitting the $10k milestone! š Truly inspiring to see whatās possible on Contra.
I joined Contra just about a month ago as a full-stack developer. Iāve set up my services and published a few case studies, but I'm constantly learning how to optimize my presence here.
If you could look back at your early days, whatās the #1 thing you did that moved the needle for your profile visibility and landing initial inbound clients?
Any quick tips for newcomers would mean a lot!
Just hit my first $10,000 on Contra š„³š
I joined Contra a while ago without really knowing what to expect, and itās been really nice to see it gradually become a place where Iāve met great clients and worked on projects I genuinely love.
Hereās to the next one š„
AI Assistant Using Your Business Knowledge Base ā RAG on Your Documents
THE PROBLEM
Q&A bots break down when knowledge lives in documents: a 100-page manual has no "questions" to match, it can't fit into a prompt, and generic chatbots hallucinate instead of admitting what they don't know.
THE SOLUTION
A RAG (Retrieval-Augmented Generation) knowledge base: documents are split into meaningful chunks, embedded into a vector index, and the assistant answers from the right sections ā by meaning, not keywords.
Any format as-is: PDF, DOCX, TXT, Markdown ā 100+ pages is fine
Answers grounded in YOUR documents ā it says "I don't have that information" rather than inventing
Source references ā every answer shows which document and section it came from
Runs on your infrastructure ā documents never leave your control
One command to re-index after updating documents ā documented, no programmer needed
LIVE DEMO
Ask it about my products, pricing, deployment and support ā it answers from 6 real documents with sources:
https://kb-assistant-demo.dvc-ai.workers.dev
The 'I don't have that information' line is the part most RAG builds skip, and it's the one that matters. How do you set the cutoff? On mine, a fixed similarity threshold broke once I filtered results by user role. Scores shifted and it refused questions it could answer.
Escape ā Seamless Hotel & Travel Booking Experience
Escape is a modern mobile experience designed to make hotel discovery and booking completely frictionless. The design balances clean minimalism with intuitive user flowsāfeaturing smart search filters, visual destination browsing, and transparent property details. Every interaction is optimized to guide users from initial inspiration to confirmed reservation in just a few taps.
