Discover @schronic Open Source projects

Nicolas Schroeder (@schronic)

schronic

Stars
31
Global Rank 479,903 (Top 17 %)
Followers 4
Registered about 7 years ago
Most used languages

Jupyter Notebook
43.5 %

Ruby
39.1 %

Python
13.0 %

HTML
4.3 %
Location 🇩🇰 Denmark
Country Ranking

Ruby
111

Jupyter Notebook
121

HTML
689

Python
788

wasted

google-analytics-analysis

competitive-analysis

brand-puls-tracker

webpage_to_wordcloud

SCRAPE ALL CONTENT FROM EACH OF A LIST OF COMPANY RELATED DOMAINS. BASED ON THIS TEXT CREATE A WORDCLOUD. USE CASE: CREATE A COMPARISON BETWEEN DIFFERENT COMPANIES (IE COMPETITORS) AND HOW THEY DESCRIBE THEMSELVES (TO DISTIGUISH POTNETIAL DIFFERENTIATORS)

Jupyter Notebook

rails-task-manager

ffriends

fullstack.2.0

rails-simple-airbnb

image_to_text

Implementation of PY Tesseract (Image to text)

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schronic

linkedin_scraper

A number of different applications of LinkedIn scrapers (for marketing and sales purposes).

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rails-mister-cocktail

schronic.github.io

rails-wikinimous

crawler

image_upscaling

Image upscaling using CV2s dnn_superres MODEL

Jupyter Notebook

subsidary_scraping_and_scout_upload

# SCRIPT TO FIND ALL SUBSIDIARIES, AS LISTED IN GOOGLE, OF ANY GIVEN COMPANY; AND THEN CREATE A REPORT BASED ON A QUERY OF THESE COMPANIES IN SCOUT, MAPEGYs INNOVATION GRAPH INTERFACE # https://www.mapegy.com/en/

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DCI

gmaps_api_entity_query

# GET LOCATIONS (AND ADDITIONAL PLACE RELATED INFORMATION) FOR ANY NUMBER OF EG COMPANIES BASED ON THE GOOGLE MAPS API

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hubspot_company2industry_linkedin_mapping

# SCRIPT TO, BASED ON A HUBSPOT XLSX FILE, EXTRACT THE INDUSTRY OF ANY GIVEN COMPANY (THAT WASNT YET MAPPED) - BASED ON LINKEDIN INFORMATION

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rails-yelp-mvp

GMapsRoute2Polygon

# BOILERPLATE TO WHAT IMAGINED TO BE A ROADTRIP ADVISOR. INPUT MODE OF TRAVEL, START AND DESTINY, A MARGIN HOW FAR OF THE IDEAL TRACK YOU WANT TO VENTURE (AND THE TYPE OF SPOTS YOU ARE INTERESTED IN) AND GET ACCORDING MAP RETURNED.

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UseCase_Deutschland_API

# THE FOLLOWING RETRIEVES ALL COMPANY RELATED INFORMATION FROM "BUNDESANZEIGER" AND "HANDELSREGISTER" AND SUMMARIZES THE RESPONSE VIA OPEN AI. # SUGGESTION: GIVEN THAT THESE REPORTS ARE MORE OF LESS STANDARDIZED IN FORM YOU SHOULD BE ABLE TO QUITE EASILY RETURN AN APPROPRIATLY FORMATED JSON OBJECT # https://github.com/bundesAPI/deutschland

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eyetracking

# LIVE EYETRACKING CODE # USE OF CV2s CASCADE MODELS # POTENTIAL APPLICATIONS: CONSUMER RESEARCH (PRODUCT INTERACTION), REAL-TIME FEEDBACK DURING EG DRIVING (IS DRIVER TIRED, DISTRACTED ETC)

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