Umar Majeed@umarmajeed

The idea is to develop streamlit app enables you to engage in interactive conversations with arXiv, a vast repository of scholarly articles, using GPT-4o. With this RAG application, you can easily access and explore the wealth of knowledge contained within arXiv. Problem Statement: Researchers and academics often struggle to quickly understand the vast number of papers published on ArXiv. ArXiv is an open-access repository for research papers in fields like physics, mathematics, and computer science, allowing researchers to share preprints before peer review. It promotes rapid dissemination and accessibility of scientific knowledge. Solution: Our web application leverages GPT-4 to provide concise summaries and explanations of ArXiv papers based on user prompts. Features Engage in conversational interactions with arXiv Access and explore a vast collection of research papers Utilize OpenAI GPT-4o for intelligent responses

Project Name: HireFit - AI-Enhanced CV Optimizer In today’s competitive job market, many candidates are unaware that their CVs are rejected by automated ATS (Applicant Tracking Systems) before they even reach human recruiters. The main reason for these rejections is the lack of alignment between the CV content and the specific job description. To solve this challenge, we developed HireFit, an AI-powered tool designed to automatically analyze your CV and compare it to the job description, identifying missing information and generating an optimized version of the CV for the best possible ATS score. With HireFit, users simply upload their CV and the job description. The tool uses advanced AI models (like Meta-Llama-3.1) to evaluate the CV content and identify gaps based on the job's requirements. It then regenerates the CV, filling in the necessary details and matching it to the job description, creating a professional CV optimized for ATS. In addition to this, HireFit provides interview preparation notes that highlight areas the candidate should focus on based on the changes made to the CV. These notes offer valuable insights into the missing skills or experience the candidate needs to prepare for, helping them be fully ready for their interview. Users can download the updated CV and interview preparation notes in various formats (PDF, DOCX), allowing easy customization and further edits according to their needs. HireFit ensures that candidates no longer face the disappointment of automated rejections and can confidently apply for jobs knowing their CV stands a better chance of being noticed.

Project Name: FILL IT Author: Umar Majeed Description: FILL IT is an automated system designed to streamline data entry processes. The project utilizes the Whisper model for transcribing audio recordings into text and the IBM Granite model for extracting information and filling out forms. The workflow involves: Audio Transcription: Converts audio files (e.g., WAV, MP3) into text using the Whisper model. Text Extraction: Extracts text and questions from a PDF form. Form Generation: Uses the IBM Granite model to generate completed form data based on the transcribed text and extracted questions. Due to technical issues, I was unable to deploy the application before the submission deadline. I am actively working on deploying it and will make it available soon. For now, I am submitting the project in its current state. The Kaggle notebook detailing the implementation is shared for reference.