[{"content":"Introduction I\u0026rsquo;ve developed an LLM(GEN AI) PACK which is deployed on CELLSTRAT Hub. This pack contains a series of projects developed as part of the LangChain initiative, demonstrating various applications and use cases leveraging language models and generative AI. Each project is designed to showcase the capabilities of different technologies and platforms.\nTable Of Contents Here\u0026rsquo;s a brief description for each item in the table of contents:\n  LLM1-Basics of LLM: This section covers the fundamentals of LLM (Large Language Models), providing an introduction to its concepts, applications, and underlying technologies.\n  LLM2-Querying PDF with AstraDB: In this section, you\u0026rsquo;ll learn about querying PDF documents using AstraDB, exploring techniques and methods for efficiently retrieving information from PDF files.\n  LLM3-Blog Generation using LLAMA 2: This section delves into the process of generating blog content using LLAMA 2, an advanced language model tailored for content creation tasks.\n  LLM4-LLM Generic App using Pinecone VectorDB: Here, you\u0026rsquo;ll discover how to build a generic application using LLM, leveraging Pinecone VectorDB for managing and querying large-scale vector data efficiently.\n  LLM5-Gemini Pro LLM Application: This section focuses on the Gemini Pro LLM Application, showcasing its features, capabilities, and practical applications in various domains.\n  LLM6-Invoice Extractor using Gemini Pro Vision: In this section, you\u0026rsquo;ll explore the development and implementation of an invoice extractor using Gemini Pro Vision, a vision-based application powered by LLM technology.\n  What is CELLSTRAT Hub ? CellStrat Hub is a full-stack AI skilling, development and deployment platform. It enables students and learners to upskill in various domains of AI as well as develop AI projects easily and efficiently. CellStrat Hub\u0026rsquo;s core value is to make AI simpler for everyone. CellStrat Hub includes a wide range of features for development, learning and deployment. Workspace CellStrat Hub Workspace is a simple yet powerful fully-managed development environment for rapid AI development based on JupyterLab. Workspace comes with a whole suite of features like,\nA Dedicated Virtual Machine on the Cloud with Jupyter Lab Persistent Storage for all your Files One-Click Realtime Collaborative Coding (think Google Docs for Code) Visual Debugger to easily debug your swamps of code Code-Snippets Extension to save your frequently used snippets of code and reuse them in any of your projects with the click of a button Seamless Git Integration via both, SSH (recommended) and Personal Access Token A Curated Set of Project Packs with Code Repositories in all major fields of AI like Computer Vision, Natural Language Processing, Reinforcement Learning and Much More.\nExpansion Packs Getting Started with practical machine learning as a beginner is a tedious task with so many projects and options spread all across the internet. Its very easy to get lost in the sea of resources that are out there. To solve this issue, Hub comes with Expansion Packs that are a curated list of projects to get you started in a particular field of AI. If you are a beginner, these packs will help you get hands-on experience and practice. If you are an expert already, these packs will help you jumpstart your project so you can build on top of it.\n","permalink":"https://varsagupta.netlify.app/blog/llm-pack/","summary":"Introduction I\u0026rsquo;ve developed an LLM(GEN AI) PACK which is deployed on CELLSTRAT Hub. This pack contains a series of projects developed as part of the LangChain initiative, demonstrating various applications and use cases leveraging language models and generative AI. Each project is designed to showcase the capabilities of different technologies and platforms.\nTable Of Contents Here\u0026rsquo;s a brief description for each item in the table of contents:\n  LLM1-Basics of LLM: This section covers the fundamentals of LLM (Large Language Models), providing an introduction to its concepts, applications, and underlying technologies.","title":"LLM (LANGCHAIN GEN AI) PACK"},{"content":"🔗 GitHub Description I had created this hostel website \u0026ldquo;BMS INN\u0026rdquo; as my college web dev project in my 3rd semester solely on my own. It took me a month to complete this project. Being a hostelite, this project is more like an emotion to me. This website is built in HTML, CSS and JavaScript.\nMotivation Being a hostelite myself, I recognized the need for a hostel website to optimize our college experience. My website aims to simplify hostel life by providing a centralized platform for communication, information sharing, and accessing essential resources.\nImages Architecture Overview The main heading of the website is \u0026ldquo;BMS Hostel,\u0026quot; with five main categories or sections: \u0026ldquo;Admission,\u0026quot; \u0026ldquo;Facilities,\u0026quot; \u0026ldquo;Events,\u0026quot; \u0026ldquo;Testimonial,\u0026quot; and \u0026ldquo;Contact\u0026rdquo; along with Login and SignUp options.\n Under the \u0026ldquo;Admission\u0026rdquo; section, there are three sub-sections: \u0026ldquo;Admission Process,\u0026rdquo; \u0026ldquo;Allotment of Room,\u0026rdquo; and \u0026ldquo;Vacating the Room.\u0026rdquo; The \u0026ldquo;Facilities\u0026rdquo; section is also divided into three sub-sections: \u0026ldquo;Accommodation,\u0026rdquo; \u0026ldquo;Hostel Mess,\u0026rdquo; and \u0026ldquo;Hospital.\u0026rdquo; Within the \u0026ldquo;Events\u0026rdquo; section, users can explore \u0026ldquo;Rafaga,\u0026rdquo; \u0026ldquo;Food Fest,\u0026rdquo; and \u0026ldquo;Hostel Days.\u0026rdquo; Both the \u0026ldquo;Testimonial\u0026rdquo; and \u0026ldquo;Contact\u0026quot;sections remain undivided. Login and SignUp is essential to view the contents of Events and Facilities in depth.  ","permalink":"https://varsagupta.netlify.app/projects/bms-inn/","summary":"🔗 GitHub Description I had created this hostel website \u0026ldquo;BMS INN\u0026rdquo; as my college web dev project in my 3rd semester solely on my own. It took me a month to complete this project. Being a hostelite, this project is more like an emotion to me. This website is built in HTML, CSS and JavaScript.\nMotivation Being a hostelite myself, I recognized the need for a hostel website to optimize our college experience.","title":"BMS INN"},{"content":"🔗 GitHub 🔗 LinkedIn Post Description ATS Resume Expert ATS Resume Expert is a Streamlit web application designed to assist in analyzing resumes using Google\u0026rsquo;s Generative AI, specifically the Gemini Pro model. This tool is especially useful for HR professionals and job seekers, as it helps in evaluating the alignment of a resume with a specific job description.\nFeatures:  Resume Upload: Users can upload their resume in PDF format. Job Description Analysis: The application allows users to input a job description. Resume Evaluation: It provides an evaluation of the uploaded resume against the provided job description. Matching Percentage: The tool calculates a percentage match, indicating how well the resume aligns with the job requirements. Strengths and Weaknesses Analysis: Offers insights into the strengths and weaknesses of the application in relation to the specified job requirements.  Images How It Works:  Upload Resume: Users upload their resume in PDF format. Input Job Description: Users enter a job description in the provided text area. Analysis: Upon clicking the analysis button, the app uses Google\u0026rsquo;s Gemini Pro model to analyze the resume against the job description. Display Results: The app displays the analysis results, including the matching percentage and detailed feedback.  Technical Details:  Streamlit: This application is built using Streamlit, a powerful framework for building data applications. Google Generative AI: It uses Google\u0026rsquo;s Generative AI (Gemini Pro model) for analyzing resumes. PDF Processing: The app converts PDF resumes to images for processing. Environment Variables: API keys and sensitive data are stored in environment variables for security.  ","permalink":"https://varsagupta.netlify.app/projects/ats/","summary":"🔗 GitHub 🔗 LinkedIn Post Description ATS Resume Expert ATS Resume Expert is a Streamlit web application designed to assist in analyzing resumes using Google\u0026rsquo;s Generative AI, specifically the Gemini Pro model. This tool is especially useful for HR professionals and job seekers, as it helps in evaluating the alignment of a resume with a specific job description.\nFeatures:  Resume Upload: Users can upload their resume in PDF format. Job Description Analysis: The application allows users to input a job description.","title":"ATS Resume Expert"},{"content":"🔗 GitHub 🔗 LinkedIn Post Description In this project, I created the \u0026ldquo;Pika-Food Ordering Chatbot\u0026rdquo; utilizing Python, FastAPI, MySQL, and DialogFlow to streamline the food ordering process. The chatbot offers users an intuitive platform for placing orders, featuring effortless ordering, real-time interaction, and seamless database integration. Leveraging FastAPI, I ensured smooth communication between the user interface and the backend, enabling dynamic updates and interactions for a responsive ordering experience.\nAdditionally, I focused on enhancing user satisfaction by incorporating advanced features such as order completion brilliance and NLP-powered conversations. The chatbot calculates totals, generates unique order IDs, and provides detailed summaries, ensuring a seamless order completion process. Moreover, NLP technology adds a personalized touch to interactions, making the chatbot easy and enjoyable to use. Join the chatbot revolution and simplify your food ordering experience with the \u0026ldquo;Pika-Food Ordering Chatbot\u0026rdquo; today! 🍔🤖🌟\nImages ","permalink":"https://varsagupta.netlify.app/projects/pika-food-chatboot/","summary":"🔗 GitHub 🔗 LinkedIn Post Description In this project, I created the \u0026ldquo;Pika-Food Ordering Chatbot\u0026rdquo; utilizing Python, FastAPI, MySQL, and DialogFlow to streamline the food ordering process. The chatbot offers users an intuitive platform for placing orders, featuring effortless ordering, real-time interaction, and seamless database integration. Leveraging FastAPI, I ensured smooth communication between the user interface and the backend, enabling dynamic updates and interactions for a responsive ordering experience.\nAdditionally, I focused on enhancing user satisfaction by incorporating advanced features such as order completion brilliance and NLP-powered conversations.","title":"Pika Food Ordering Chatbot (END-END NLP PROJECT)"},{"content":"🔗 GitHub 🔗 LinkedIn Post Description \u0026ldquo;The Award-Winning Science \u0026amp; Tech Chatbot Triumphs at \u0026lsquo;Hackaphasia\u0026rsquo; AI Hackathon!\u0026quot;\nThe aim of this project was to craft a cutting-edge Science and Technology chatbot using Python, NLP techniques, spaCy, Gradio, and Hugging Face transformers alongside my talented teammates Dhawan and Vasu, securing the 3rd position at \u0026lsquo;Hackaphasia,' the 24-hour AI hackathon organized by IEEE Computer Society during the Phaseshift event at our college.\nOur bot showcased advanced features such as semantic understanding, information extraction, interactivity, summarization, user query learning, and scalability. We meticulously engineered it to extract embeddings from text using spaCy and a custom model, with Hugging Face transformers enhancing our summarization capabilities.\nImages:\n","permalink":"https://varsagupta.netlify.app/projects/nlp-chatbot/","summary":"🔗 GitHub 🔗 LinkedIn Post Description \u0026ldquo;The Award-Winning Science \u0026amp; Tech Chatbot Triumphs at \u0026lsquo;Hackaphasia\u0026rsquo; AI Hackathon!\u0026quot;\nThe aim of this project was to craft a cutting-edge Science and Technology chatbot using Python, NLP techniques, spaCy, Gradio, and Hugging Face transformers alongside my talented teammates Dhawan and Vasu, securing the 3rd position at \u0026lsquo;Hackaphasia,' the 24-hour AI hackathon organized by IEEE Computer Society during the Phaseshift event at our college.","title":"NLP Powered Chatbot to Explore Science and Technologies"},{"content":"Description I began my journey with Cellstrat, an innovative startup dedicated to AI development, in January 2024.  As an AI Developer in this capacity, I focus on crafting LLM models customized for real-world scenarios. I created a LLM(GEN AI) Pack which a collection of projects from the LangChain initiative showcasing diverse applications of language models and generative AI Deployed on CELLSTRAT Hub. Currently I'm working on making projects that solve real work challenges.  Additionally, I am enhancing my expertise in Data Science, Machine Learning, Generative AI and honing my skills in deploying solutions on AWS infrastructure.  ","permalink":"https://varsagupta.netlify.app/experience/cellstrat/","summary":"Description I began my journey with Cellstrat, an innovative startup dedicated to AI development, in January 2024.  As an AI Developer in this capacity, I focus on crafting LLM models customized for real-world scenarios. I created a LLM(GEN AI) Pack which a collection of projects from the LangChain initiative showcasing diverse applications of language models and generative AI Deployed on CELLSTRAT Hub. Currently I'm working on making projects that solve real work challenges.","title":"AI Developer Intern"},{"content":"Description I joined BigBuddy Technologies as a Full Stack Developer in May, where I worked on front-end, back-end, API development, along with Artificial Intelligence and Machine Learning.  Co-developed an automated GST invoice processing system. Engineered a backend script as part of my internship to automate form-filling on the Startup India website. Developed a Python script for automated retrieval of HSN and SAC codes. Created a Flask-based integration API. ","permalink":"https://varsagupta.netlify.app/experience/bigbuddy/","summary":"Description I joined BigBuddy Technologies as a Full Stack Developer in May, where I worked on front-end, back-end, API development, along with Artificial Intelligence and Machine Learning.  Co-developed an automated GST invoice processing system. Engineered a backend script as part of my internship to automate form-filling on the Startup India website. Developed a Python script for automated retrieval of HSN and SAC codes. Created a Flask-based integration API. ","title":"Full Stack Developer Intern"}]