abid raza
Automated web scraping for high-quality leads
New to Contra
abid is ready for their next project!
Most sales teams waste hours going through bad leads.
So I built a simple tool that does one thing well:
š It filters out decision-makers from a messy lead list of 1200
š Flags uncertain leads for manual review
š Reduces the time spent on low-quality prospects
Upload a CSV ā get a clean list of high-value leads in seconds.
No complex setup. No unnecessary AI hype. Just practical automation.
This is useful for:
ā¢ Freelancers doing outreach
ā¢ Agencies handling client leads
ā¢ Startups trying to close faster
If you want, I can customize this for your business workflow.
(Working demo in video below)
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scraped 50 quotes just now without failing the script on API.
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45
I built an AI-powered system that analyzes leads based on their job roles and automatically generates personalized outreach emails.
The system classifies contacts into decision-makers or individual contributors using AI, then creates tailored messages for each type. This helps businesses improve response rates and avoid sending generic emails.
Key Features:
AI-based lead classification (Decision Maker vs Individual)
Personalized email generation for each lead
Structured CSV output for outreach campaigns
Reduces manual effort in sales communication
Technologies Used:
Python, Transformers (NLP), Pandas
these are results of these.
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41
"AI bulk processor "This tool processes large lists of leads and automatically organizes them based on importance using AI.
It helps businesses quickly identify decision-makers and separate low-quality or uncertain leads. This project automates a common sales problem.
What It Does?
Processes bulk lead data (names + job titles)
Classifies leads into:
Decision Makers
Individual Contributors
Adds AI confidence score for each lead
Flags uncertain results for manual review
Separates high-value leads automatically
Exports clean CSV files
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58
I built an AI-powered system that automatically analyzes incoming leads and identifies high-value business opportunities.
The system uses natural language processing to classify leads based on their intent, then prioritizes the most valuable prospects and triggers an automated email alert with a filtered report.
This helps businesses focus only on serious buyers and avoid wasting time on low-priority inquiries.
Key Features:
AI-based lead classification using zero-shot learning
Automatic identification of high-priority business leads
Smart filtering and CSV report generation
Automated email alerts with high-value leads attached
Reduces manual work and speeds up decision-making
Technologies Used:
Python, Transformers (NLP), Pandas, Email Automation (SMTP)
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60
This system automatically collects job leads, filters relevant roles, scores them using AI, and generates personalized outreach emails.
Automated lead collection via API
AI-based role classification
Lead scoring system
CSV export for outreach
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85