Sudheendra Rao@Sudhee1997

PropLlama.ai is a real estate platform designed to transform the daunting and intricate task of navigating the property landscape into a seamless and enjoyable experience. Our platform features an intelligent chatbot that understands, remembers, and responds to your queries like a trusted friend, making it feel like you are having a meaningful conversation with a property confidant rather than just another chatbot. Additionally, our platform offers 24/7 chat support with a team of seasoned experts, personalized property searches, insightful decision-making support, comprehensive assistance throughout the property acquisition process, and meticulous legal compliance support. This includes everything from document verification to crafting customized lease agreements. With PropLlama.ai, you get convenience, speed, and accuracy at your fingertips, making it your ultimate real estate companion and doubt resolver. Say goodbye to data overload, questionable broker integrity, and the stress of legalities. PropLlama is here to guide you through it all. The core of PropLlama.ai is powered by the Llama-13b-alternative chat model(tested with Llama-70b too) and Clarifai. It enables the chatbot to understand the context of a conversation, remember previous interactions, and generate human-like responses. It can also process text data, such as property descriptions, legal documents, and news articles, to extract relevant information and provide personalized recommendations to users. Langchain Agents and LLMs- Various tools which were built using Llama and Clarifai for variety of class of queries were intergrated using Langchain agents. LangChain is a framework designed to simplify the creation of applications using large language models (LLMs) In summary, PropllAma.ai leverages advanced technologies, such as the Llama-13b-alternative chat model, Clarifai platform, Llama-70b model for testing, and Langchain agents and LLMs,

Our platform revolutionizes recruitment with personalized experiences for candidates and streamlined processes for employers. Challenges with traditional recruitment system are: 1. TIme consuming 2. Screening Hassles 3. Inconsistent result 4. In effective methods Solutions - AutoRecruit AI is a comprehensive and cutting-edge solution to these problems. It puts the candidate at the center of its process and applies a breakthrough llama-based algorithmic approach to achieve unprecedented accuracy at speeds that haven't been seen before! Features 1. Candidate sourcing 2. Resume parsing 3.Candidate scoring and summary 4. Personalized Engagement Benefits 1. Time Saving 2. Cost-Effective 3. Efficiency Optimization 4. Better Candidate Fit

In the rapidly evolving landscape of document processing, businesses are continually seeking innovative solutions to enhance efficiency, reduce manual workload, and ensure the accuracy of data extraction from crucial documents like invoices. The document parsing application, powered by Falcon LLM, emerges as a standout solution in this domain, delivering unparalleled precision in interpreting and extracting information from varied invoice formats. Falcon LLM, a cutting-edge language learning model, is renowned for its capability to grasp and interpret the complexities of human language. This application harnesses the full potential of Falcon LLM, but it goes a step further by employing advanced fine-tuning techniques such as Parameter Efficient Fine-tuning (PEFT) and Quantized Low-Rank Adaptation(QLORA). These techniques enable the model to adapt to the specific nuances and variations present in different invoice formats, ensuring a high level of accuracy across diverse datasets. Hosting the application on Streamlit brings an additional layer of user-friendliness and accessibility to the table. Streamlit is known for its ability to rapidly deploy data applications with minimal setup, and in this case, it provides an intuitive web interface for interacting with the document parsing application. Users can upload invoices directly through the Streamlit interface, initiate the parsing process, and receive the extracted data in real-time. This not only simplifies the user experience but also makes the powerful capabilities of Falcon LLM and the fine-tuned model accessible to a broader audience, regardless of their technical expertise. The implementation of this document parsing application represents a significant leap forward in automating and optimizing the invoice processing workflow.By leveraging Falcon LLM, fine-tuning with PEFT and QLORA, providing an API endpoint for easy integration, and hosting the solution on Streamlit,it provides a friendly solution