Intent Score AI Lead Finder (Caprae-style)

• This AI-powered tool replicates the workflow of Caprae Capital’s Pre-Screening Engine to identify promising companies, score job leads based on intent, and visualize results through a smart and user-friendly Streamlit interface.
• This tool is focused to improve the performance of "SCRAPER TOOL" by providing additional features of
  • Lead of the company
  • LinkedIn profile of the Lead
  • Job title
  • Intent score
  • Rating according to the Intent score

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Features

• Step-by-step UI flow like Caprae Capital:

  • Select Industry (e.g., Software, Healthcare)
  • Select Location
  • Choose action: "Clear", "Find Companies", or "Cancel"
  • Get matched companies with scored leads and job titles

• Intent Scoring Engine:

  • Uses job descriptions + lead metadata to compute a custom score

  • Assigns a rating grade based on score range:

    Score	Grade
    91–100	A+
    81–90	A−
    71–80	B+
    61–70	B−
    51–60	C+
    41–50	C−
    31–40	D
    0–30	F

• Smart Filters + Autocomplete:

  • Dynamic dropdowns that filter industries/locations as you type
  • Fully responsive logic using Streamlit widgets

• CSV Download: Export final scored leads in one click

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Tech Stack

• Frontend: Streamlit
• Backend: Python (with Pandas and JSON)
• Scoring Engine: Custom logic (score.py)
• Data: Manually curated metadata, jobs & leads (in JSON/CSV)

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Project Structure

intent-score-tool/
├── streamlit_app/
│   └── app_flow.py          # Main app UI logic
├── scoring/
│   └── score.py             # Scoring logic (e.g., compute_score)
├── data/
│   ├── companies_metadata.csv       
│   ├── jobs_sample.json
│   ├── jobs_sample_unique.json
│   └── leads_sample.json
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├── requirements.txt
└── README.md


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## Setup

1. Clone the repo:

git clone https://github.com/yourusername/intent-score-tool.git
cd intent-score-tool

2. Install dependencies:

pip install -r requirements.txt

3. Run the Streamlit app:

streamlit run streamlit_app/app_flow.py

Streamlit app - 'https://intent-score-tool-dhnvsxz6kzdxuezuosy3sp.streamlit.app/'