Projects

I developed an innovative AI-powered application that transforms simple text prompts into detailed descriptions and high-quality images, leveraging Gradio, Hugging Face, and LangChain technologies.

Key features include an AI-driven prompt enhancement system, integration with Hugging Face's Inference API for image generation, a user-friendly Gradio interface with customizable image dimensions, and a dark mode UI for improved user experience.

This project demonstrates my proficiency in Natural Language Processing, Machine Learning, and Web Development, showcasing my ability to create sophisticated AI applications that bridge the gap between user input and complex AI-generated outputs.

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I developed an advanced, interactive chatbot application utilizing the llama-3.1-8B-Instant language model to enable engaging, reasoning-rich conversations across diverse topics.

Key features include an intuitive Gradio chat interface, customizable AI parameters, real-time response streaming, and pre-loaded example prompts. The project leverages LangChain for efficient model integration and offers a responsive web interface with dark mode.

This project showcases my expertise in Natural Language Processing, Machine Learning, and Web Development, demonstrating my ability to create sophisticated AI applications with user-friendly interfaces and advanced functionalities.

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I developed an advanced AI-powered tool that summarizes both PDF documents and text inputs with adjustable conciseness control. This project leverages the LLAMA 3.1 8B model and LangChain to provide high-quality, context-aware summarization.

Key features include dual functionality for PDF and text summarization, an intuitive conciseness control feature, and a user-friendly Gradio interface. The tool integrates PDF parsing capabilities and employs a modular architecture for easy expansion.

This project demonstrates my skills in Natural Language Processing, Python programming, API integration, and AI application development, while showcasing my ability to create practical tools that enhance document analysis efficiency.

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I developed an interactive application that combines advanced language models with graph processing techniques to analyze and visualize relationships within text data. This innovative system answers user queries, generates visual representations of entities and relationships, summarizes content, and creates images based on text summaries.

Key features include graph-based question answering, relationship visualization using NetworkX, image generation with the Flux model, and a detailed relations DataTable. Built with Gradio, the application offers an intuitive and interactive user experience.

This project showcases my ability to integrate complex AI technologies, including NLP and computer vision, to create a comprehensive tool for deep text analysis and creative visualization.

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I developed an interactive Gradio-based application designed to help users optimize their resumes for Applicant Tracking Systems (ATS). This tool allows users to upload a resume and a job description, providing a detailed analysis of the match between the two.

Key features include resume analysis with keyword matching, content rephrasing to improve ATS compatibility, and customizable AI parameters.

The project demonstrates my ability to create practical AI-powered tools that solve real-world problems in job seeking and career development.

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The goal of this project is to explore and develop a model that can effectively detect deep fake face images generated from various GAN architectures.

The existing detection models often struggle to generalize across different GAN architectures.

This project aims to reimplement the pairwise learning model proposed by Hsu C. et al., which utilizes statistics between real and fake image pairs to improve detection performance.

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