Startup Screening Application - README
Overview
This project automates the screening process for startups by leveraging a fine-tuned AI model. The application evaluates startups based on existing criteria and determines their eligibility for funding. The only input required is a CSV file containing the startup details with specific required columns.
Model
https://huggingface.co/k011/startup-score
Dataset
https://huggingface.co/datasets/k011/startup_eligibility_scores
Features
-
Automated Screening: Streamlines the evaluation process for startups using
AIfine tuned Albert-V2 Model. - Fine-Tuned Model: Utilizes a custom-trained AI model to assess eligibility for funding.
- Fine-Tuned Model: Utilizes a custom-trained AI model to assess eligibility for funding, a score based system which goes through sentiment analysis to evaluate the startups.
- CSV Input: Accepts a CSV file with necessary startup details for evaluation.
- Eligibility Output: Provides a clear decision on whether a startup is eligible for funding.
Prerequisites
- Python 3.x
- Required Python libraries (install via
requirements.txt)
Installation
-
Clone the repository:
git clone https://github.com/kamalika0363/flask-ml.git cd flask-ml -
Install the required libraries:
pip install -r requirements.txt
CSV File Requirements
The CSV file should contain the following columns:
- Startup Name: Name of the startup
- Founder: Name(s) of the founder(s)
- Industry: Industry sector of the startup
- Stage: Current stage of the startup (e.g., Seed, Series A)
- Funding Needed: Amount of funding required
- Revenue: Current revenue of the startup
- Employee Count: Number of employees
Example CSV Format
Company Name: Startup 2
Gender: MALE
Company Description: Airbnb, Inc. is an online marketplace for short- and long-term homestays and experiences. We act as a broker and charges a commission from each booking.
Company Website: https://www.airbnb.com
Job Titles: Chief Executive Officer (CEO)
Business Model: nan
Revenue: Not generating revenue yet
Profit: Not generating profit yet
Total External Funding: 0
Notable Investors: nan
Competition Region: South East Asia
The team consists of experienced professionals from diverse backgrounds.
Usage
- Ensure your CSV file is formatted correctly as per the requirements.
- Run the application:
python process_csv.py
- The application will process the CSV file and output the eligibility results.
Example Command
python app.py
Output
The application will generate an output file company_paragraphs.txt with the following columns:
- Startup Name: Name of the startup
- Eligibility: "Eligible" or "Not Eligible" based on the evaluation
Example Output
Demo
http://cwb-kammo.centralindia.cloudapp.azure.com/
Screenshots
