Projects using Python in Edison
Projects using Python in Edison
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Rahul Bhagwat
Fine-tuned Arch-Render Generation Model
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17
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1
Paramint Digital
pro
Advanced Reservoir Tools for ResFrac
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7
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Anastasiya Kotelnikova
COVID-19 Case Forecasting with Python
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19
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Austin Sim
UI/UX Showcase
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2
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Zane Tipton
Web Scraper
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68
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Chaim Tesser
TextMyOrder - SMS Ordering for Shopify Stores
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3
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Jonathan Williams
pro
Sports Betting Recommender System
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33
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Shabbir Abbas
pro
Why Choose Dealty vs. others?
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4
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Bach Le
Z-Define: The Ultimate Gen Z Dictionary
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16
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Che Bouyd
SaaS Platform Development
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6
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Kelly Gogela
Stop the R&D trial-and-error cycle. 🧪 Are you losing margin to inefficient formulas or launch delays? I bridge the gap between "great idea" and "market-ready." I’ve delivered results like a 9% LDL reduction in 30 days while maintaining 70%+ gross margins. I specialize in Food, Beverage, and Supplements through three pillars: Technical Engineering: Solving protein stability, starch gelatinization, and shelf life before production. Strategic Sourcing: Cost engineering and vetting global suppliers to protect your margins and navigate MOQs. Global Regulatory: Navigating FDA, Health Canada, EU, UK and Aussie standards to ensure clean-label compliance and seamless market entry. Let’s build a product that delivers on its functional promises.
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35
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Chris Maresca
AI Real-Time Phone Assistant
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16
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Hadi Rajabbeigi
Guide to Choosing Statistical Methods for Research
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6
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Jeffrey Rene
Working as a software developer at Amazon Music can make me boost.
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57
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13
Dev Devnani
AI Patient Communication System for Oral Surgery Practice Problem: Oral surgery practice struggled with patient communication inefficiencies. Patients had questions about procedures, recovery protocols, pre-op instructions, and insurance coverage but couldn't get timely answers. Front desk staff spent 15+ hours weekly answering repetitive questions via phone, taking time away from scheduling and practice operations. Missed calls led to patient frustration and appointment cancellations. Results: - Practice reduced front desk call volume by 40%, freeing up 6+ hours weekly for higher-value tasks. - AI system handled 200+ patient inquiries in first month with 95% resolution rate (no human handoff needed). - Appointment no-show rate decreased 15% - System paid for itself in 2 months through reduced administrative overhead.
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101
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Sebastian Soran
Dynamic Market Insights with Google Trends & Python
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5
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