Project Description: This project leverages the full potential of large language models (LLMs) to go beyond language understanding, addressing analytical tasks, logical reasoning, and computational challenges. The chatbot is capable of handling various dataset formats, generating and executing SQL or Python code based on user requests, solving logical reasoning problems, and visualizing data derived from datasets or custom Python/SQL queries. Additionally, it can recommend tailored visualisations to meet user-specific needs, making it a versatile tool for data analysis and decision-making.
Project Description: This project focuses on developing a Retrieval-Augmented Generation (RAG) system designed to classify user-provided information based on predefined, documented rules. The system ensures accurate categorization by leveraging a combination of advanced machine learning techniques and rule-based frameworks, streamlining the classification process and improving overall efficiency.
Project Description: This project aims to develop a cutting-edge virtual flight assistant that enables users to effortlessly book flights using their mobile devices. Supporting both commercial and charter flight searches, the assistant can find and reserve flights, send email confirmations, engage in verbal conversations with clients, and more. Powered by advanced AI models, the assistant offers real-time understanding and interaction, supporting most major languages worldwide. Its custom-built text-to-speech AI model ensures a seamless blend of professionalism and high-quality communication, providing an exceptional user experience.
Project Description: A software solution designed to optimize the sales process by automatically filtering applications that do not require manual review by sales managers. The system leverages a sophisticated filtering mechanism, using criteria such as customer interests, geographic location, technical skills, and other relevant factors to accurately identify and prioritize potential customers. By streamlining the selection process, the Sales Bot enhances efficiency and allows sales teams to focus on high-value opportunities.
Project Description: The HR Helper Bot is a Telegram-based tool designed to streamline the recruitment process for HR professionals and recruiters. The bot facilitates seamless interaction through Telegram messages, guiding users in defining job criteria and preferences. It efficiently filters candidate profiles based on these specifications and generates a curated list of suitable candidates, making the hiring process faster and more effective.
Project Description: Chatbot designed to support individuals facing mental health challenges. It is powered by a highly trained and secure large language model (LLM). The chatbot enables real-time interaction through both voice and text communication. It also features memory capabilities to recall previous conversations, ensuring a personalized experience. Additionally, it simulates natural conversations and provides guided therapeutic exercises to assist users effectively.