
4
4
Pakistan
2+ years of experience
I’m Amna Kaleem , a BS-IT student. My skills include Python, C++, OOP, WordPress, SEO, Digital Marketing & basic web development. I’m interested in AI/ML and tech projects. Excited to work on these tech projects and win hackathons.

VoiceCareer AI is an intelligent, real-time voice assessment platform designed to help job seekers master technical and behavioral interviews. Powered by AssemblyAI's real-time voice streaming and advanced LLM reasoning, the platform conducts natural, conversational interview sessions, transcribes user responses instantly, and generates actionable career feedback. Key Features: - Interactive Voice Interviews: Real-time, low-latency audio processing using AssemblyAI for seamless verbal evaluation. - Comprehensive Scoring & Analytics: Evaluates response accuracy, confidence, and role alignment with visual dashboard metrics. - Tailored Career Roadmaps: Dynamic career engine that adapts feedback based on target roles (e.g., Frontend Developer, DevOps Engineer) to highlight skill gaps and actionable next steps. - Modern Full-Stack Architecture: Built with a high-performance React frontend and a Node.js/Express backend integration.
30 Sep 2026

AI Production Incident Replay helps developers investigate production incidents faster by bringing application logs, error or stack traces, and recent code changes into one investigation workflow. The system analyzes the available evidence to reconstruct an incident timeline, identify affected components, determine an evidence-backed probable cause, and provide recommended investigation and resolution actions. It also generates a structured incident report that helps development teams understand what happened, why it may have happened, and where to investigate next. Tagline: Reconstruct. Investigate. Resolve.
27 Sep 2026
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When algorithmic trading happens, most people have no idea why their trades executed. You place an order and it fills — but the "why" remains a mystery. That's what we solved. TradeAudit AI is an autonomous agent that connects directly to Alpaca Paper Trading, detects every fill in real-time, and immediately explains it in plain English using Groq AI. No jargon. No confusion. Here's what it does: A trade happens on Alpaca → Our agent detects it via WebSocket → AI generates a human-friendly explanation → Risk score is calculated → Everything is saved to an audit database → Users can ask questions about their trades anytime. Example: User's trade: BUY 10 AAPL @ $200 = $2,000 Agent explains: "Apple was purchased to increase Technology sector exposure. The trade represents 8% of portfolio value, making it LOW risk." Users can also chat with the AI. Ask "Show me today's risky trades" or "Why did we buy Tesla?" and get instant answers from the audit history. We built three interfaces: - Web dashboard (React) with live portfolio, charts, and audit log - AI chatbot panel with natural conversation - Mobile app (Flutter) so traders can monitor on the go All powered by a single backend that orchestrates Alpaca API, Groq AI, SQLite database, and real-time WebSocket streaming. Why it matters: Transparency builds trust. In trading, that's everything.
4 Sep 2026

SkillMatch AI helps job seekers figure out, instantly, how well their resume actually fits a job. No more guessing. Most people apply to jobs without really knowing if their resume matches what the job needs. They only find out after getting rejected. Comparing a resume to a job description by hand takes time, and it's easy to miss things. Our solution is simple. Just upload your resume in PDF, DOCX, or TXT format, then add the job you're applying for in whatever way works best for you. You can paste the job description as text, paste a link to the job posting, or even upload a screenshot or poster of the job. Our AI, powered by Claude, reads both and instantly shows your match score, which skills you already have, which ones you're missing, and a simple summary of where you stand. The platform can also keep track of your match history so you can look back anytime, and it supports signing in with Google or GitHub, along with regular email and password login. It works smoothly on any device and was built to be easy for anyone to use, whether they're tech savvy or not. It was built using the NativelyAI platform, with React and TypeScript on the frontend; Supabase for the backend, including the database, storage, and login; and the Claude API for reading resumes, understanding job postings, and doing the actual matching. It was built by Team Code Voyagers, led by Muhammad Ammar Zia, with the whole team contributing across frontend, backend, database, and AI work.
10 Aug 2026