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3+ years of experience
Name: Muhammad Atif Latif Nationality: Pakistani Profession: Data Scientist & AI Engineer Education: Pursuing Bachelor of Science in Computer Science (BSCS) from Virtual University of Pakistan (2023–2027) Career & Skills Muhammad Atif Latif is a passionate Data Scientist and AI Engineer with expertise in: Data Science & Machine Learning – actively learning and applying AI/ML models. Python Programming – currently strengthening fundamentals through a structured course on Afwera LMS. Web & App Development – providing services related to building professional websites and applications. Artificial Intelligence Applications – working on projects that integrate AI into real-world domains like healthcare and agriculture. Interests & Goals Deeply interested in AI and emerging technologies, with a commitment to creating 50 unique AI-related articles to share knowledge. Actively exploring the use of AI in Agriculture and planning to publish an article titled “Agriculture with AI”. Preparing to upload datasets (such as wheat production) on Kaggle, with the long-term ambition of becoming a Kaggle Grandmaster. Enthusiastic about participating in hackathons and innovation challenges, where he builds AI-powered apps (e.g., Health Genie). Recent Activities Participated in hackathons like Lablab.ai’s Co-Creating with GPT-5 Challenge. Developed and showcased AI-based apps such as Health Genie (a health-related AI solution). Actively posts and engages on LinkedIn, Twitter (X), and other platforms to share his projects, articles, and learnings. Personal Traits A self-driven learner with strong curiosity for technology. Balances academic growth with practical projects. Has a vision to contribute to the future of AI in multiple sectors, especially healthcare and agriculture.

Health Geniee is an AI-powered medical assistant designed to make healthcare more accessible, fast, and reliable for everyone. The platform allows users to check symptoms, ask health-related questions, and receive instant AI-generated insights based on trusted medical knowledge. Health Geniee empowers individuals to understand their health better, make informed decisions, and seek proper care when needed. The idea behind Health Geniee is to bridge the gap between people and everyday medical information without requiring clinical knowledge. Users can interact with the assistant just like speaking to a real medical guide—simple, friendly, and available 24/7. Health Geniee aims to reduce stress, save time, and support smarter self-care for millions of users worldwide.
19 Nov 2025

Health Geniee is an AI-powered virtual healthcare assistant designed to make healthcare more accessible, proactive, and personalized. It helps users analyze symptoms, access reliable health information, and receive wellness recommendations instantly. Instead of waiting for appointments or browsing unverified sources, users can interact with Health Geniee to get trusted guidance powered by AI. The app offers 24/7 availability, early symptom checks, lifestyle tips, and a seamless user experience. Built with GPT-5, React, and AI/ML technologies, Health Geniee bridges the gap between patients and digital healthcare, empowering individuals to take control of their health anytime, anywhere.
24 Aug 2025

Alpha Quiant Pro is a next-generation, AI-powered financial assistant that delivers real-time stock market data, company insights, and intelligent news analysis — all in one place. This project was built for the Code Craft AI x Dev Hackathon to demonstrate how artificial intelligence can simplify financial decision-making and market awareness for everyday users, investors, and analysts. --- 🚀 Key Highlights: Real-Time Stock Data: Users can search for any stock symbol (e.g., AAPL, TSLA) to receive up-to-date pricing, volume, market cap, and financial metrics using the yFinance API. Latest Market News: The app fetches top financial news articles related to the selected stock or the broader market. AI-Powered News Summarization: Leveraging NLP models (from Hugging Face or OpenAI), Alpha Quiant Pro automatically summarizes long articles into concise, readable insights — saving users time while keeping them informed. Multiple Interfaces for User Preference: ✅ Streamlit Version (Python-based): Ideal for users who want quick access to data with a clean, interactive layout built using Python and Streamlit. ✅ Web App Version (Netlify Deploy): A more polished, responsive version designed with modern web frameworks, offering a smoother user experience and enhanced visuals. --- 💡 Problem Solved: Retail investors and professionals often need to visit multiple platforms to analyze stock performance and related news. Alpha Quiant Pro consolidates this workflow into one intelligent dashboard — making data consumption faster, simpler, and AI-enhanced. --- ⚙️ Technologies Used: Frontend: Streamlit / React (depending on version) Backend: Python APIs: yFinance, News APIs AI/NLP: Hugging Face Transformers / OpenAI (for text summarization) Hosting: Streamlit Cloud, Netlify --- 🌐 Live Demos: Streamlit Version: https://treahackathon-bfghpcuvmvfsjdeoeqj5m6.streamlit.app/ Web App Version: https://mellifluous-sprite-33a706.netlify.app/
15 Jun 2025

Problem: Agricultural data is crucial for understanding food security, economic planning, and environmental impact. However, datasets like FAOSTAT can be overwhelming and difficult to analyze without technical tools. Solution: FAOSTATs Viewer is a lightweight, AI-enhanced data explorer built with Streamlit that makes global agricultural statistics accessible and interactive. Users can filter by domain, indicators, commodities, country, and year to generate visual insights in seconds. Target Audience: Researchers, students, data scientists, policymakers, and NGOs focused on agriculture, climate, and economic development. Key Features: Real-time access to FAOSTAT data via API. Clean, interactive visualizations using Plotly. Filter system for highly granular control (Domain, Metrics, Country, Commodity, Year). Streamlit interface for a seamless user experience. Tech Stack: Python Streamlit FAOSTAT API Plotly Pandas Impact: By simplifying complex global agricultural data, this app empowers stakeholders to make data-informed decisions around food production, trade, and sustainability.
1 May 2025