Projects using Python in Alvin
Projects using Python in Alvin
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Matthew Delano
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AI Concierge Platform for Multi‑Property Hotel Network
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27
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Al Kaizar Sappayani
AI Sales Agent Problem: Customers needed fast, accurate answers on courses/licensing/policies from a huge, changing catalog; support handled repetitive questions and compliance is state-specific. Solution: Built RUBI, an embedded RAG purchase advisor in using ETL + multimodal indexing and hybrid retrieval (metadata + vector + structured lookups) with cited, grounded answers, purchase flows, analytics, and tuning loops. Metrics: 695,042 conversations; 2.6 Qs/convo; feedback 6% up / 94% down; ~10s to first token, ~11s complete; KB >100k structured rows.
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111
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Adeleke David
Jarvis AI Assistant Development
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1
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Bailee Eden
nir — Translating Complexity Into Clarity
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4
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Micah Johnson
RiverGuide: AI-Powered Mentor Onboarding
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4
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Kokorick AI
🚀 Most AI outreach tools stop at writing messages. Warmo.ai (http://Warmo.ai) actually helps you find prospects, personalize outreach, and start meaningful conversations—all from one platform. Whether you're a freelancer, agency owner, recruiter, or founder, it's built to save hours of manual work and help you book more meetings. 🔥 Best part? The first users can use it completely FREE. If you've been waiting for an AI tool that actually helps you grow your business instead of just generating text, now's the time to try it. 👉 Check out Warmo.ai (http://Warmo.ai) and claim your free access while it's available. #AI #Sales #LeadGeneration #Outreach #Freelancer #Agency #Startup #BusinessGrowth #Automation #Contra
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Jaye Nichols
Five-file sales reconciliation
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2
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Ryan O'Leary
Javari
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46
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Ahmet Cetinkaya
Analysis of Movie Data
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5
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Arsal Khan
Vulnerability Report
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13
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Matthew Delano
max
AI-Powered Advanced Rider Assistance System Development
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16
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Al Kaizar Sappayani
AI Generated Data Analysis Problem: Weekly call-center ops data needed actionable synthesis; manual analysis was slow and inconsistent. Solution: Built an LLM data analysis agent: ingest call data, run NLP + aggregations, detect anomalies, and generate a weekly executive PDF with insights, metrics, and recommended actions Metrics Automated weekly PDF; similar setups cut analysis time ~90% and improved decision turnaround (one related client saw 17% revenue lift over 7 months) Tech: Python ETL, Pandas, NLP, GPT-4o, Airflow Result: Consistent reports that surface issues fast and drive quicker corrective action.
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Micah Johnson
Black UX Labs: AI Career Discovery for 500 Participants
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6
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Kokorick AI
AI-Powered Code Editor for Modern Developers
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31
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Jaye Nichols
Conflicting order IDs Synthetic sample from Export Rescue: two order IDs each have conflicting amounts. All four affected records are kept for review. The two remaining records are accepted, totaling USD 55.00. Every source row remains traceable. The review file shows which entries need a decision before they can be included in the cleaned export.
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12
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Ryan O'Leary
Upbeat: Music Discovery
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26
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