Develop an application to extract key profile information from CVs and recommend jobs aligned with the profile.
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With the increasing efficiency of large language models (LLMs), they are becoming increasingly popular for extracting information from business documents such as legal contracts, invoices, financial reports, and resumes, to name a few. Information extracted from multiple sources could be used for recommendation and matching systems.
Some of the information extraction and matchmaking apps include:
- Automatic generation of requests for quote (RFQ) by extracting information from customer requests.
- Extracting key usage patterns from customer data to provide product recommendations.
- Extract key information from tenders and compare it with company profiles to find potential bidders.
- Extracting key information from a company's invoices and sales documents to generate purchase-sale reports.
- Extract key information from purchase orders to facilitate inventory and supply chain management.
- Match people on matrimonial or dating platforms based on their profiles etc.
