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Interpreting the nuances of user queries to understand context and intent was a significant challenge. The team needed to develop a system that could comprehend natural language in a way that traditional keyword-based searches couldn’t.
The project required dealing with massive amounts of data from various sources. Ensuring quick retrieval without compromising on accuracy was a major hurdle.
Designing an intuitive and user-friendly interface that could cater to both novice and experienced users was a challenge. The team aimed to balance advanced capabilities with ease of use.
Enabling real-time information retrieval, especially for dynamic data sources, demanded a robust and efficient technology stack.
The launch of Re/quest.ai marked a significant milestone for MentorSol. The project successfully addressed the challenges of context-aware information retrieval and delivered a user-friendly interface. Users experienced a more streamlined and productive search process, resulting in increased user engagement and satisfaction.
Extensive research into AI-driven information retrieval systems and NLP technologies to lay the groundwork for the project.
Designing algorithms for query understanding, context extraction, and sentiment analysis to enhance search accuracy.
Building pipelines to integrate data from diverse sources, ensuring efficient storage, indexing, and real-time updates.
Collaborating with UX/UI designers to create an intuitive interface that offers advanced search capabilities without overwhelming the user.
Training and fine-tuning machine learning models for query interpretation and relevance ranking.
Fine-tuning the system for speed and efficiency, ensuring smooth real-time search responses.
Tools and solutions are selected and used, considering the requirements of the customer and the UK healthcare industry
NLTK, SpaCy, GPT-3 for language processing, sentiment analysis, and query understanding.
TensorFlow, PyTorch for building and training AI models.
ElasticSearch for efficient indexing and retrieval of structured and unstructured data.
React.js for frontend development, Node.js for backend development, ensuring a responsive and interactive user interface.
Leveraging AWS for scalability, hosting, and data storage.
Implementation of secure data transmission and user authentication protocols to protect sensitive user information.
Integration of analytics tools like Google Analytics for insights into user behaviour and search patterns.
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Pakistan
Punjab, Pakistan
28-E PIA, ECHS, Block E Pia Housing Scheme, Lahore, 54770
Phone : (+92) 300 2189222 (PK)
Australia
Perth, Western Australia
25 Mount Prospect Crescent, Maylands, Perth, 6051
Kingdom of Saudi Arabia
Riyadh, Saudi Arabia
6395-Prince Turki Bin Abdulaziz Al Awwal, Riyadh
Phone : (+96) 659 931 8689