Summarize company information in 1-2 page based on Investor information memorandums (50-60 page documents)
Budget: $30 – $250 USD
Use Case: Summarize Company information in 1-2 page based on Investor information memorandums (50-60 page documents)
Proposed Cost: $250 - $300
Input: Investor Information Memorandum (IM), which is a 50-80 slide powerpoint/ word document describing a company in significant details)
Output: 1-2 page word document that summarizes information in IM as available:
Basic Summary - Industry, Revenue, EBITDA, employees, locations
Products - Product sales broken down by key segments or products
Growth - Growth % and growth drivers
Number of employees - Employee breakdown by categories, if available
Major Initiatives and expenditures, if available
Other Information as available - IT systems
Deliverables: Provide a fully functional application that takes input and provides output as described above:
Develop a basic UI that can be used to upload the Information Memorandum (IM) document
Develop code that leverages NLP models such as BERT, GPT-3,RoBERTa T5 or XLNet to summarize information from the IM
Preprocess and prepare dataset for fine-tuning the model using OpenAI API or the Hugging Face's Transformers library
Developing API using frameworks such as Flask or FastAPI and deploy API using AWS Lambda or Google
Next Phase Use Cases (developed after above use case is complete and will be priced separately)
Customize engagement letters based on company profile
ChatGPT type question-answering in
Proposed Cost: $250 - $300
Input: Investor Information Memorandum (IM), which is a 50-80 slide powerpoint/ word document describing a company in significant details)
Output: 1-2 page word document that summarizes information in IM as available:
Basic Summary - Industry, Revenue, EBITDA, employees, locations
Products - Product sales broken down by key segments or products
Growth - Growth % and growth drivers
Number of employees - Employee breakdown by categories, if available
Major Initiatives and expenditures, if available
Other Information as available - IT systems
Deliverables: Provide a fully functional application that takes input and provides output as described above:
Develop a basic UI that can be used to upload the Information Memorandum (IM) document
Develop code that leverages NLP models such as BERT, GPT-3,RoBERTa T5 or XLNet to summarize information from the IM
Preprocess and prepare dataset for fine-tuning the model using OpenAI API or the Hugging Face's Transformers library
Developing API using frameworks such as Flask or FastAPI and deploy API using AWS Lambda or Google
Next Phase Use Cases (developed after above use case is complete and will be priced separately)
Customize engagement letters based on company profile
ChatGPT type question-answering in