Dietitians and nutritionists often spend a significant amount of time creating meal plans for their clients. To address this issue, we have developed a generative AI solution that can accurately generate personalized meal plans. Our goal is to revolutionize patients’ daily eating habits with the innovative Diet Assistant App. This app is specifically designed to create personalized diet plans tailored to the user’s health conditions. It can be used by dietitians to generate precise meals while considering the entire diet plan for up to a month, thus freeing up the doctor’s time. The app not only plans meals but also highlights the health benefits of the ingredients. Doctors have the ability to override any menu generated by the app, giving them full control over the meal planning process to ensure accuracy. The app features systematic meal planning for a day, the ability to analyze history to generate future menus, and the option to export plans to PDF with a comprehensive dashboard.
Recruiters often struggle with manually reviewing large volumes of resumes, leading to delays, biases, and missed opportunities to identify top talent. Our AI-driven Resume Screening and Ranking System automates the process by analyzing and ranking candidates based on job descriptions. This cutting-edge solution enables HR professionals to seamlessly upload multiple resumes and job descriptions, securely storing them in AWS S3. Leveraging Natural Language Processing (NLP) and a BERT-based AI model, the system accurately extracts key attributes like skills, education, and experience, providing objective, data-driven rankings. With a seamless React.js front-end and Node.js backend, recruiters can efficiently review ranked candidates along with similarity scores. Hosted on AWS SageMaker, our AI/ML pipeline achieves 81% accuracy, speeding up hiring and improving candidate selection
This project addresses the time-consuming process of reviewing numerous RFPs each month to extract relevant information for bidding. Our solution leverages a generative AI system that scans uploaded documents and summarizes them in a specific format, with customizable options for summary length (Small, Medium, or Large). Users can easily upload PDF/Word documents, and the system will generate a formatted summary in a bullet-point structure, highlighting important keywords in red for better visibility. Additionally, the system allows users to browse through previously uploaded RFP summaries, eliminating the need to re-upload them. For users seeking a more comprehensive approach, the system offers an AI-generated response template for each RFP, allowing them to select the tone of the response—formal, concise, or persuasive. The system also connects to a database for storing and retrieving processed document data, providing organizations with a valuable tool to streamline RFP processing and enhance bidding efficiency.
We’ve developed a Proof of Concept (POC) leveraging the Google Gemini API to create an innovative “Conduct My Interview” interface. This app helps job candidates prepare for interviews by providing an interactive, adaptive experience. When users create an interview session, the system analyzes their selected technology and generates relevant questions. As they progress, the difficulty of the questions adjusts based on their responses. To simulate a real interview, users can enable their microphones and webcams to record answers. After completing the interview, users receive a detailed feedback report, including an overall assessment, a list of questions asked, their recorded responses with correct answers, and personalized feedback and insights to identify areas for improvement. This app offers job seekers a realistic interview experience, helping them refine their skills and perform better in actual interviews.
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