Freelancers using Streamlit in Lahore

Freelancers using Streamlit in LahoreFreelancers using Streamlit in Lahore

Projects People

proLahore, Pakistan

AI Integration & Automation Engineer | Full-Stack Web Apps

$50k+: Earned

65x: Hired

4.9: Rating

129: Followers

Expert

Expert

+2

AI Integration & Automation Engineer | Full-Stack Web Apps

Cover image for Autonomous Multi-Agent Market Research System Development

Autonomous Multi-Agent Market Research System Development

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Cover image for Magnai | UK Public Affairs

Magnai | UK Public Affairs

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Cover image for Humoni - secure housing in under 72 hours

Humoni - secure housing in under 72 hours

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121

Cover image for Wellbeing Wizard AI

Wellbeing Wizard AI

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182

Lahore, Pakistan

AI Integration & Automation Engineer | Full-Stack Web App

1x: Hired

5.0: Rating

3: Followers

AI Integration & Automation Engineer | Full-Stack Web App

Cover image for AI-Powered Research System

AI-Powered Research System

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Cover image for AI-Powered Data Query Application

AI-Powered Data Query Application

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Cover image for iSMS - AI-Powered Operating System for Early Childhood Education

iSMS - AI-Powered Operating System for Early Childhood Education

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Cover image for AdInsights AI

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proLahore, Pakistan

I am a Python and AI developer building smart solutions pro.

6: Followers

I am a Python and AI developer building smart solutions pro.

Cover image for Built a personalized LinkedIn post

Built a personalized LinkedIn post generator, and it's actually working end to end now. Most AI writing tools just take a prompt and spit out generic content. I wanted something different, a tool that understands who you are before it writes anything, and checks what's genuinely working on a topic right now instead of guessing. Here's what it actually does: → Personalized profile setup — set your niche, profession, key skills, and preferred tone once, it's reused for every post after that → Real-time research before writing — searches how people are actually discussing your topic right now, and extracts real patterns: hook style, structure, tone, without ever copying anyone's actual words → Fully personalized generation — combines your profile with the research patterns to write something original that sounds like you, not a generic AI voice → Editable output — every generated post is editable before you copy it, plus you get a breakdown of exactly which patterns informed the draft → Post history — every post you've generated is saved and browsable anytime → Fully self-contained build — Python, Streamlit, SQLite, no Supabase or external auth provider, just OpenRouter for generation and Serper for real-time research, with proper password hashing for authentication Still early, and currently invite-only while I manage access and costs on the research side. Link below, drop a comment or DM me for access. 🔗 https://post-pilot-ai.streamlit.app/ #AI (https://www.linkedin.com/search/results/all/?keywords=%23ai&origin=HASH_TAG_FROM_FEED) #Python (https://www.linkedin.com/search/results/all/?keywords=%23python&origin=HASH_TAG_FROM_FEED) #Streamlit (https://www.linkedin.com/search/results/all/?keywords=%23streamlit&origin=HASH_TAG_FROM_FEED) #BuildInPublic (https://www.linkedin.com/search/results/all/?keywords=%23buildinpublic&origin=HASH_TAG_FROM_FEED) #OpenSource (https://www.linkedin.com/search/results/all/?keywords=%23opensource&origin=HASH_TAG_FROM_FEED) #MachineLearning (https://www.linkedin.com/search/results/all/?keywords=%23machinelearning&origin=HASH_TAG_FROM_FEED)

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Cover image for AI Story Book Creator 📖✨
A

AI Story Book Creator 📖✨ A simple AI-powered web app that generates personalized kids’ stories based on user input like hero name, story type, power, and location. Built with Streamlit and CrewAI, it uses multiple AI agents to write, review, and finalize the story, then displays and saves it as a text file.

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Cover image for This Python script is an

This Python script is an AI-powered Daily Fitness Planner built using CrewAI. It collects user inputs such as name, age, fitness level, and workout duration, then uses multiple AI agents to generate a complete workout plan. Each agent handles a specific task including workout creation, warm-up routines, recovery advice, safety review, and final formatting. The system produces a structured, safe, and personalized fitness plan, making it easy for users to follow an effective daily routine.

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Cover image for ColdMailAI generates personalized cold emails

ColdMailAI generates personalized cold emails using AI by analyzing target company websites.

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326

Lahore, Pakistan

Full Stack Developer | AI & Automation

10: Followers

Full Stack Developer | AI & Automation

Cover image for AI News Automation Bot

AI News Automation Bot

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Cover image for Kaizen is a Python learning

Kaizen is a Python learning platform for kids ages 12-14 — that specific age window matters because most coding-for-kids products target either much younger (Scratch/blocks) or much older (Codecademy-style courses for adults). The 12-14 zone is underserved: they've outgrown drag-and-drop blocks but they're not ready for "Watch this 2-hour video and take notes." The product is built around a narrative: the digital realm of Coderia is being corrupted, and the kid's job is to save it by writing real Python. Eight story realms (Echo Valley → Logic Peaks → Loop Lakes → ...), 94 lessons, one connected arc. Every lesson is real Python that runs, not blocks.

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Cover image for I designed and built a

I designed and built a full-stack AI healthcare platform from the ground up integrating 6 external medical APIs, real-time AI-powered consultations and a production-grade frontend with smooth animations. This is the kind of intelligent and scalable system I can build for you in healthcare, education or any data-driven domain. Live Demo: healix.vercel.app (http://healix.vercel.app) What Healix Does 4.6 billion people worldwide lack access to essential health services. Healix bridges that gap by putting an AI health companion in every citizen's pocket backed by trusted data from WHO, NIH and the FDA. It delivers 24/7 health guidance, reduces unnecessary ER visits and extends the reach of overstretched healthcare systems. Core Features I Built AI Health Chat - 24/7 intelligent consultations with multi-language support powered by Google Gemini Symptom Checker - Interactive symptom analysis with triage recommendations using NIH Clinical Tables Drug Interaction Checker - Cross-checks multiple medications for dangerous interactions via OpenFDA Medicine Search - Detailed drug profiles including side effects and usage guidelines from OpenFDA and RxNorm Health Dashboard - Personalized health overview with activity tracking and chronic disease management Additional modules include mental wellness tracking, nutrition logging, lab results management, vaccination records, appointment booking and a community health forum. Tech Stack Next.js 15 and React 19 frontend styled with TailwindCSS and animated with Framer Motion. Python FastAPI backend powered by Google Gemini AI with fallback handling. Integrated with OpenFDA, NIH Clinical Tables, PubMed, RxNorm and WHO data sources. Supabase authentication with Google OAuth. SQLite for development and PostgreSQL for production. Deployed on Vercel. What This Demonstrates Complex multi-API orchestration with error handling and fallback logic AI integration with prompt engineering for accurate medical responses Clean component architecture with 30+ routes and reusable UI components Full authentication flow with role-based access Responsive design optimized for mobile-first healthcare access Production deployment with real users in mind Looking to build an AI-powered platform for your industry? Whether it's healthcare, education, finance or operations I can architect and ship intelligent systems like this end to end. Let's talk.

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Cover image for VeoChain is an AI-powered video generation tool that overcom...

VeoChain is an AI-powered video generation tool that overcomes the typical 8-second limit of AI video models like Google's Gemini Veo 2.0. It intelligently chains multiple video segments together by analyzing each segment's ending and generating continuation prompts, creating seamless 24+ second videos from a single prompt. The app features browser-based video stitching using FFmpeg.wasm (no server uploads needed), a clean Attio-inspired UI built with Next.js and Framer Motion, and persistent project history with IndexedDB. Users simply enter their Gemini API key, write a prompt, and VeoChain handles the multi-segment generation, chaining, and final export automatically.

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Lahore, Pakistan

CS student & designer automating the future with AI.

New to Contra

CS student & designer automating the future with AI.

Cover image for Taking corporate email automation beyond

Taking corporate email automation beyond basic template generation. 🚀 I just open-sourced a new project: Autonomous Cold Email & Inbound Replier Agent! This is a modular, production-ready system built completely in pure Python using CrewAI for multi-agent orchestration and Streamlit for a clean, modern interactive UI. As shown in image_ea414f.png, the system moves away from single-prompt generation and splits the operational workload into specialized, sequential steps to ensure high-quality enterprise triage: Dynamic Context Parsing: Ingests dynamic company names, specific roles, and product offerings to craft completely personalized pitch assets based on an internal knowledge base. Multi-Agent Orchestration: Uses a CrewAI sequential flow to separate analysis from execution. A Triage Officer handles data categorization while a Business Correspondent handles context-aware drafting. 100% Free-Tier & Cost Compliance: Powered entirely by high-performance models via free-tier API orchestration (utilizing gemini-2.5-flash via Google AI Studio and Groq Cloud AI as a high-speed secondary model). Interactive UI Safety: Features a polished Streamlit interface (onee.py (http://onee.py)) to monitor active server queues and act as a human-in-the-loop gatekeeper to approve drafts before they go live. The repository is modularly structured, completely production-ready, and optimized with strict exception handling to respect rate limits safely. 🔗 Check out the code here: https://github.com/26FajarRizwan/Cold_Email_Replier_Agent #CrewAI #Streamlit #AIEngineering #Python #GenerativeAI #LLMs #OpenSource #Automation #GoogleGemini

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Cover image for 🎮 Level Up: Built a

🎮 Level Up: Built a Multi-Agent AI Game Designer with CrewAI (https://www.linkedin.com/company/getcrewai/) & Groq (https://www.linkedin.com/company/groq/)! 🚀 I'm thrilled to share my latest projecta modular hashtag#AI (https://www.linkedin.com/search/results/all/?keywords=%23ai&origin=HASH_TAG_FROM_FEED) Agent system designed to transform a simple text idea into a full, production-ready Game Design Document (GDD)! 🕹️🤖 As game development gets more complex, brainstorming core mechanics, balance, and narrative loops manually can take days. I built this automation agent to instantly structure wild game ideas into comprehensive design blueprints. 🛠️ How It Works: Dynamic Terminal Prompting: Captures unique, raw gameplay ideas directly from user input via the terminal. AI Game Designer Agent: Powered by Groq’s lightning-fast Llama-3.3-70b-versatile model, it acts as a veteran designer with 10+ years of AAA experience. Custom Stability Patch: Implemented a robust dynamic litellm execution patch to strip out incompatible caching fields, ensuring 100% crash-free API calls. Structured GDD Output: Automatically generates core gameplay loops, combat systems, character arcs, and world-building documentation. 🏗️ Modular Architecture & Tech Stack: Framework: CrewAI (https://www.linkedin.com/company/crewai-inc/) (Multi-Agent Architecture) Inference Engine: Groq (https://www.linkedin.com/company/groq/) API Cloud LLM: Llama (https://www.linkedin.com/company/ai-deepseek/)-3.3-70b-versatile Environment Management: Python (https://www.linkedin.com/company/learn-python-programming/) hashtag#python (https://www.linkedin.com/search/results/all/?keywords=%23python&origin=HASH_TAG_FROM_FEED)-hashtag#dotenv (https://www.linkedin.com/search/results/all/?keywords=%23dotenv&origin=HASH_TAG_FROM_FEED) & hashtag#strict (https://www.linkedin.com/search/results/all/?keywords=%23strict&origin=HASH_TAG_FROM_FEED) .hashtag#gitignore (https://www.linkedin.com/search/results/all/?keywords=%23gitignore&origin=HASH_TAG_FROM_FEED) protocol to ensure zero leakage of private hashtag#API (https://www.linkedin.com/search/results/all/?keywords=%23api&origin=HASH_TAG_FROM_FEED) credentials. By separating my automation projects into clean, isolated ecosystems, I'm building a highly scalable portfolio of production-grade AI tools. 📂 Check out the GitHub Repository here: https://lnkd.in/dFecvgBc (https://lnkd.in/dFecvgBc)What kind of game would you ask this agent to design first? Let's connect and discuss the power of fast inference in creative automation! 👇 hashtag#AI (https://www.linkedin.com/search/results/all/?keywords=%23ai&origin=HASH_TAG_FROM_FEED) hashtag#GenerativeAI (https://www.linkedin.com/search/results/all/?keywords=%23generativeai&origin=HASH_TAG_FROM_FEED) hashtag#CrewAI (https://www.linkedin.com/search/results/all/?keywords=%23crewai&origin=HASH_TAG_FROM_FEED) hashtag#Groq (https://www.linkedin.com/search/results/all/?keywords=%23groq&origin=HASH_TAG_FROM_FEED) hashtag#Llama3 (https://www.linkedin.com/search/results/all/?keywords=%23llama3&origin=HASH_TAG_FROM_FEED) hashtag#GameDesign (https://www.linkedin.com/search/results/all/?keywords=%23gamedesign&origin=HASH_TAG_FROM_FEED) hashtag#Python (https://www.linkedin.com/search/results/all/?keywords=%23python&origin=HASH_TAG_FROM_FEED) hashtag#Automation (https://www.linkedin.com/search/results/all/?keywords=%23automation&origin=HASH_TAG_FROM_FEED) hashtag#ArtificialIntelligence (https://www.linkedin.com/search/results/all/?keywords=%23artificialintelligence&origin=HASH_TAG_FROM_FEED) hashtag#SoftwareEngineering (https://www.linkedin.com/search/results/all/?keywords=%23softwareengineering&origin=HASH_TAG_FROM_FEED)

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Cover image for Just Built: A Multi-Agent AI

Just Built: A Multi-Agent AI CV/Resume Tailor using CrewAI & Google Gemini 2.5 Flash! 📝 Huge thanks to Skill2Success for giving me this platform and helping me in making these type of projects and also Zarmina Sanam for guiding me in best way!!!! Job hunting is tough, but tailoring your resume for every single job description shouldn't take hours. To solve this real-world problem, I built an automated multi-agent system that optimizes resumes for ATS algorithms in seconds! 🛠️ How it works: Local PDF Extraction: Uses pypdf to read the candidate's resume directly via file paths (supporting drag-and-drop inputs). ATS Specialist Agent: Analyzes the target Job Description (JD), evaluates keyword density, and flags technical or formatting gaps. Executive Resume Writer Agent: Automatically re-architects and rewrites resume bullet points using the impact-driven STAR methodology without fabricating skills. 🏗️ Tech Stack: Orchestration: CrewAI Framework LLM Backbone: Google Gemini 2.5 Flash (Ultra-fast & accurate processing) Security: strict .gitignore configuration to safeguard personal API credentials. This project isolates production environment workflows perfectly and delivers tailored markdown resumes ready for corporate submissions! 📂 Check out the GitHub Repository here: https://lnkd.in/dvT4BK2S Let's connect and discuss building autonomous agents for productivity workflows! 👇

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Cover image for rule-based chatbot built in Python

rule-based chatbot built in Python that replies to greetings, questions, and casual conversation using keyword matching — no AI/ML involved. Includes an advanced version with jokes, time/date, and emotion responses, plus a bonus HTML/CSS/JS chat UI. CodeAlpha Python Internship Task 4.

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Muhammad Danish Nadeem

Lahore, Pakistan

Generative AI Developer

New to Contra

Generative AI Developer

Cover image for AI-Powered Resume Screening System
Tired of

AI-Powered Resume Screening System Tired of manually sifting through hundreds of resumes? This intelligent screening system does the heavy lifting — automatically parsing resumes, extracting key skills, and semantically matching candidates to job descriptions in seconds. 🧠 How It Works The system uses advanced Natural Language Processing (NLP) to deeply understand both resumes and job descriptions — going far beyond simple keyword matching. It calculates semantic similarity using cosine similarity, meaning it understands context, not just words. ⚙️ Key Features 📄 Smart Resume Parsing — Automatically extracts skills, experience, and qualifications from any resume format 🔍 Semantic Job Matching — Matches candidates to roles based on meaning, not just keywords 🏆 Candidate Ranking — Instantly ranks applicants by relevance score 📊 Match Scoring — Clear percentage-based compatibility scores for every candidate 🕳️ Skill Gap Analysis — Identifies exactly what skills a candidate is missing for a role 🚀 Streamlit Dashboard — Clean, interactive UI deployable in one click 🛠️ Tech Stack Python · NLP · Scikit-learn · Cosine Similarity · Streamlit · SpaCy / NLTK 💼 Perfect For HR teams, recruitment agencies, startups, and any business drowning in job applications — this tool cuts screening time by up to 80%. 📈 Results It Delivers ✅ Faster hiring decisions ✅ Bias-reduced candidate evaluation ✅ Clear, data-backed shortlisting ✅ Scalable to thousands of resumes

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Cover image for Engineered a personalized news recommendation

Engineered a personalized news recommendation system leveraging the Microsoft MIND dataset to deliver highly relevant, user-centric content at scale. The solution models user engagement patterns through collaborative filtering techniques to predict and surface articles aligned with individual reading behavior. It encompasses a complete machine learning pipeline, including data preprocessing, model training, evaluation, and performance validation using click-through-based metrics on real-world interaction data.

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Cover image for This Music Genre Classification System

This Music Genre Classification System features a modern, AI-powered dashboard designed to classify music genres from uploaded audio files. The interface provides a seamless user experience with a drag-and-drop audio upload section, real-time prediction results, confidence score visualization, and probability distribution across multiple genres. The dashboard follows a clean dark-theme design with vibrant purple accents, making it visually appealing while maintaining usability. Users can upload audio files in various formats, view the predicted genre instantly, and analyze model confidence through interactive charts and progress bars. Additional features such as prediction history and workflow guidance enhance transparency and user engagement. Overall, the frontend effectively combines machine learning functionality, intuitive user interaction, and modern UI/UX principles to create a professional music genre classification platform suitable for academic projects, research demonstrations, and production-ready AI applications.

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Cover image for Drug discovery usually takes 10

Drug discovery usually takes 10 to 15 years, our service proposes a way to lower the time and the cost by an estimated ten years, by simulating drug molecule behaviour with protein, docking, to give researchers a tool to speed up clinical trials by instead relying on simualtions

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Lahore, Pakistan

AI & Automation Specialist | Building Custom Chatbots & Agen

AI & Automation Specialist | Building Custom Chatbots & Agen

Cover image for AI-Powered Travel Recommendation System

AI-Powered Travel Recommendation System

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Cover image for GitHub - MohidNaghman1/Erp_Rag_Assistant

GitHub - MohidNaghman1/Erp_Rag_Assistant

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Cover image for CareerGPT AI-Powered Career Platform Development

CareerGPT AI-Powered Career Platform Development

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Cover image for AI-Powered Shopping Assistant Development

AI-Powered Shopping Assistant Development

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Lahore, Pakistan

Data Scientist: Expert in Analysis, Databases, AI🔍

Data Scientist: Expert in Analysis, Databases, AI🔍

Cover image for Swift Law - LawGPT

Swift Law - LawGPT

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Cover image for Clip Insights - Capture Clip and Learn

Clip Insights - Capture Clip and Learn

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Cover image for Study Buddy

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