Professional Website Design for AI Workflow Solutions

Professional Website Design for AI Workflow SolutionsProfessional Website Design for AI Workflow Solutions

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Muhammad Usman

pro

• Apr 2

Website for Workflow AI Artificial Intelligence Company

AI 3D Modeling AI Development AI Engineer MATLAB Python R

Subtain Afzal

• 10h

Great

Muhammad Usman

pro

• 10h

Thanks @Subtain

Liam Ricketts

• Apr 3

Great work on this project very clean and well-structured!

Moiz Mansoori

• Apr 1

Built a deployed AI tool that lets users upload research papers and query them using natural language. RAG pipeline with vector search retrieves precise context-aware answers. Features PDF parsing, AI summaries, topic modeling, and citation extraction. Live on Render.

AI Engineer FastAPI LangChain Python AI Development

Istiak Ahmed Khan

• Apr 2

interesting

Rohit .

• Apr 1

Most AI tools help you write.

Designa helps you build. Inside Notion, you can just tag @designa and describe anything: “Freelance manager” “Startup dashboard” “Food delivery app”

And it turns that idea into a working system. You get: – Structured databases – Smart workflows – UI ideas + layouts – Even code + flows in FigJam

No switching tools. No complex setup. It connects everything in one place and actually makes it usable. This is what a real AI agent looks like. Not just generating content… But turning ideas into systems you can use instantly. 🔗 Agent: Designa

notioncustomagentbuildathon AI Agent Engineer Prompt Engineering Notion NotionAI

Rohit .

• Apr 1

Agent is live : https://www.notion.so/marketplace/custom-agents/designa

notion.so

Notion – The all-in-one workspace for your notes, tasks, wikis, and databases.

A tool that connects everyday work into one space. It gives you and your teams AI tools—search, writing, note-taking—inside an all-in-one, flexible workspace.

Asad Aziz

• Apr 1

🚀 SMS Spam Detection Project

I’m excited to share one of my machine learning projects — an SMS Spam Detection System 📩

🔍 The goal of this project is to automatically classify incoming messages as spam or ham (legitimate messages).

💡 Key Features:

Machine Learning-based model

Text preprocessing & feature extraction

Accurate spam classification

Simple and user-friendly interface using Streamlit

🛠 Technologies Used:

Python

Scikit-learn

Pandas & NumPy

Streamlit

🌐 The project is available on GitHub and also deployed using Streamlit.

📎 Project Link: https://sms-spam-detection-001.streamlit.app/

🙏 Feel free to check it out and share your feedback. Your suggestions will help me improve further!

#MachineLearning #Python #AI #DataScience #Streamlit #GitHub #Learning

AI Development AI Engineer Python scikit-learn Streamlit Machine Learning Engineering

Marco Mastroeni

• Apr 1

Nice work! It seems really interesting. Some time ago i did something similar but for the news online. i sued textblob, nltk and vader for sentiment analysis. Did you use streamlit for the categorization of the words?