AI & Data Consulting
Digital Products
Digital Commerce
Techtic Built an NLP-powered Smarter, Scalable Search Platform for Spreadbliss
Overview
Spreadbliss sought to create a robust platform that would efficiently connect individuals and organizations with non-profit initiatives. The platform was designed to utilize advanced technology, including natural language processing (NLP) and Bedrock , to streamline the search process and increase the impact of philanthropic efforts by connecting users with relevant non-profit organizations.
Technologies Stack
Industry
Digital Products
Tools & Technologies
Angular, NodeJS, Python, Django, Bedrock
Services
Strategy, Development, Design
Problem
Spreadbliss needed a centralized platform capable of identifying non-profit organizations based on user-defined criteria, such as cause, location, and mission. Their existing resources lacked the ability to efficiently interpret user queries and provide accurate matches, creating a gap in connecting users with suitable non-profit initiatives.
01.
Intuitive Chat Interface
A user-friendly chat interface was designed to allow users to input their search criteria using natural language. This simplified the interaction process, making it easy for anyone to navigate. The chat interface also provided instant feedback and guided users throughout the search.
02.
Advanced NLP Capabilities
Sophisticated natural language processing (NLP) was implemented to accurately interpret user queries. It extracted critical information such as location, cause, and keywords from user inputs. This ensured precise search results by understanding the user’s intent more effectively.
03.
Bedrock Integration
Bedrock was seamlessly integrated to enhance the platform’s search efficiency. It processed user queries and fetched relevant results from the comprehensive non-profit database. This integration improved response times and ensured high accuracy in delivering the right matches.
04.
Comprehensive Non-profit Database
A detailed and expansive database of non-profit organizations was curated, including key information like mission, location, and areas of focus. The database was continually updated to ensure accuracy and relevance. This enabled users to access a rich source of reliable and actionable data.
Challenge
Techtic encountered significant challenges in ensuring data quality and handling the complexities of extracting accurate information from diverse user queries. Additionally, search query optimization required thorough testing to balance efficiency and accuracy. Scaling the platform to manage increased data and user traffic was crucial for sustaining performance.
Outcome
Techtic implemented robust data validation and enrichment processes to enhance the quality of the non-profit database. By leveraging Angular in the front-end development, the platform provided an interactive and responsive user experience, facilitating smooth navigation and dynamic search interactions. Continuous refinement of NLP models and optimization of Bedrock query structures allowed for improved search accuracy. A scalable, cloud-based infrastructure was introduced to handle growing user demands, ensuring seamless platform performance and responsiveness.
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