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Just opened up capacity for new AI/ML projects.
What I build:
— Production RAG systems over large document collections
— LLM fine-tuning pipelines (LoRA / QLoRA)
— Document AI: classification, extraction, OCR
— Workflow automation with n8n
My focus is on systems that ship to production — not demos. Local-first deployments with zero cloud lock-in are my specialty.
Open to projects starting this week.
The network for creativity
Join 1.25M professional creatives like you
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🚀 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
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?
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.
interesting
Emaily — My Personal AI Email Assistant
I built Emaily to completely handle my email life. Here's what it can do:
Core Features:
• Automatically scans and analyzes all new emails across multiple Gmail accounts every day at 9:00 AM
• Reads full email threads with complete context (not just subject lines)
• Delivers a clean, organized daily email digest with smart recommendations
Smart Triage & Actions:
• Scores every email by Priority (High/Medium/Low) and Urgency
• Suggests best action: Reply, Archive, Keep, Snooze, or Add to Notion
• Writes ready-to-send professional reply drafts instantly
• Detects tasks, meetings, deadlines, and invoices automatically
Notion Integration:
• Suggests and structures tasks in Action Items database
• Logs receipts & invoices in Finance & Receipts database
• Adds meeting invites to Meetings & Calls database
• Saves every daily digest in Daily Email Digests database
Automation & Intelligence:
• Runs on autopilot every morning at 9 AM
• Detects repeating patterns and suggests Gmail filter rules
• Learns my email style and preferences over time
• Tracks follow-ups and reminds me if needed
• Suggests perfect snooze times
• Detects spam, newsletters, and noise
Extra Powers:
• Weekly insights report (time saved, email trends, etc.)
• On-demand commands (just say “Emaily, run now” anytime)
• Automatically creates and maintains its own workspace with 7 organized pages & databases
• Works with multiple email addresses
Emaily acts as my full-time email co-pilot — scanning every morning at 9 AM, triaging, organizing, cleaning, and turning emails into actionable tasks inside Notion.
Inbox Zero feels much more achievable now.
Agent : - https://www.notion.so/marketplace/custom-agents/emaily {Pending review}
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