Kainat Ijaz@Kainat_Ijaz

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.

A real-time fraud detection web app developed with Streamlit, utilizing the Claude API for analyzing transaction data. The app features an intuitive and interactive interface that allows users to input and review transaction details, providing immediate insights on potential fraudulent activity. This solution enhances security by offering dynamic detection capabilities and helping users make informed decisions to prevent fraud. Built to be user-friendly and efficient, it integrates seamlessly into existing workflows and ensures that critical transactions are monitored effectively, offering a robust tool for businesses and individuals to safeguard their financial operations.

WorkUp is a project management tool designed to streamline and automate the process of project setup and management. Using AI-powered algorithms, the tool efficiently distributes tasks to team members based on their expertise, ensuring optimal productivity. WorkUp allows users to upload project descriptions and team expertise in various formats (PDF, DOCX, TXT) or manually input the data. The AI system analyzes this information to assign tasks, generate detailed workflows, and create visual flowcharts for a clearer understanding of the project’s progression. Additionally, WorkUp suggests creative project names and generates a starter code structure to kickstart development. Built on a user-friendly Streamlit interface, the tool allows for seamless interaction and feedback collection, enabling continuous improvement. WorkUp saves time, enhances collaboration, and scales easily to accommodate projects of different sizes and complexities. Future enhancements include advanced customization options, integration with existing project management tools, and mobile support.