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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Akshat Sharma
Turning long documents into decisions. Organizations rely on long reports to make critical decisions, but most insights stay buried. This AI Decision Intelligence system turns raw documents into predictions, evidence scoring, and clear insights in minutes. If AI could read your reports for you, what decisions would you automate first? #AI #MachineLearning #DecisionIntelligence #EnterpriseAI #DataAnalytics #Automation
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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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Ryan O'Leary
Javari
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Ahmet Cetinkaya
Analysis of Movie Data
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Arsal Khan
Vulnerability Report
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Matthew Delano
max
AI-Powered Advanced Rider Assistance System Development
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Akshat Sharma
🌳 Tree Crown Detection, Done Right We built an AI system that detects and segments individual tree crowns in aerial imagery, producing clean, non-overlapping boundaries. Using RetinaNet + Mask R-CNN, our model outperforms Detectree2 with fewer false positives, no over-segmentation, and GIS-ready outputs, even in dense forests. #AI #ComputerVision #RemoteSensing
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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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Ryan O'Leary
Upbeat: Music Discovery
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Ahmet Cetinkaya
Exploring Credit Card Approval Data
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Akshat Sharma
🚀 Building WorkMind AI — A Unified AI Workplace We built WorkMind AI: a unified workplace with team collaboration, AI performance scoring, personalized coaching, and smart scheduling. One platform to boost productivity with real-time, data-driven insights. 🚀 A single AI-powered workspace that centralizes collaboration, automates performance insights, and boosts productivity through continuous, data-driven guidance. If you're building in AI, workflow automation, or enterprise tooling — let’s talk. 🚀 #AI #FullStackDevelopment #ProjectManagement #TechLead #Automation #Startups #LLM
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Al Kaizar Sappayani
AI - powered insurance Agent Problem: Prior auth was manual—staff reviewed patient docs to predict approvals, making the process slow and resource-heavy. Solution: Built a HIPAA-compliant AI auth system: extract clinical data (OCR + clinical NLP), form a structured EHR-like record, evaluate insurer rules, and generate approval suggestions; added voice input workflows via STT/TTS plus secure storage and audit logging. Metrics: Reduced turnaround time and improved SLA adherence (similar projects reached ~98%). Result: Automated major parts of auth decisioning while staying compliant and auditable. Skills: AI Speech-to-Text AI Agent Development AI Builder AI Audio Generation AI Security
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