AI-Based Lead Generation System for Liqui Flexy Tanks using Google Sheets and Machine Learning
Budget: ₹600 – ₹1,500 INR
Project Description:
We are looking to hire a freelancer to develop an AI-based lead generation system using Google Sheets and Machine Learning for our Liqui Flexy Tanks product. The system is expected to extract possible leads from websites based on industry, product name, country, type of company, and previous orders or inquiries.
The freelancer will be responsible for the following tasks:
Data collection: Collect a large dataset of websites that are relevant to the Liqui Flexy Tanks product and extract the necessary information such as company names, contact information, industry, country, previous orders or inquiries, etc.
Machine learning model development: Develop a machine learning algorithm to recognize patterns in the collected data and use it to predict potential leads. The algorithm should take into account different variables such as industry, country, type of company, and previous orders or inquiries.
Google Sheets integration: Integrate the lead generation system with Google Sheets to automatically populate the lead information in the spreadsheet.
Data analysis: Analyze the collected data to filter and process the leads based on specific criteria such as location, industry, and previous orders or inquiries.
Follow-up: Provide a report of the generated leads with all relevant information, including contact details, industry, country, and previous orders or inquiries.
The freelancer should have experience in machine learning and web scraping technologies, as well as proficiency in using Google Sheets. They should be able to develop a scalable and efficient system that can extract leads from websites in a timely and accurate manner.
To apply for this project, please submit your resume, relevant work experience, and a project proposal outlining your approach to developing an AI-based lead generation system for Liqui Flexy Tanks. We are looking for a freelancer who can complete the project within a reasonable timeframe and budget.
We are looking to hire a freelancer to develop an AI-based lead generation system using Google Sheets and Machine Learning for our Liqui Flexy Tanks product. The system is expected to extract possible leads from websites based on industry, product name, country, type of company, and previous orders or inquiries.
The freelancer will be responsible for the following tasks:
Data collection: Collect a large dataset of websites that are relevant to the Liqui Flexy Tanks product and extract the necessary information such as company names, contact information, industry, country, previous orders or inquiries, etc.
Machine learning model development: Develop a machine learning algorithm to recognize patterns in the collected data and use it to predict potential leads. The algorithm should take into account different variables such as industry, country, type of company, and previous orders or inquiries.
Google Sheets integration: Integrate the lead generation system with Google Sheets to automatically populate the lead information in the spreadsheet.
Data analysis: Analyze the collected data to filter and process the leads based on specific criteria such as location, industry, and previous orders or inquiries.
Follow-up: Provide a report of the generated leads with all relevant information, including contact details, industry, country, and previous orders or inquiries.
The freelancer should have experience in machine learning and web scraping technologies, as well as proficiency in using Google Sheets. They should be able to develop a scalable and efficient system that can extract leads from websites in a timely and accurate manner.
To apply for this project, please submit your resume, relevant work experience, and a project proposal outlining your approach to developing an AI-based lead generation system for Liqui Flexy Tanks. We are looking for a freelancer who can complete the project within a reasonable timeframe and budget.
Related categories:
Business, Accounting, Human Resources & Legal
Python
Web Scraping
Software Architecture
Data Mining