Update resume.py

resume.py

@@ -31,7 +31,7 @@ data = '''
 
 ## **PROJECTS**
 To know more on particular project just ask My2.0
-### 0. [Celebrity Recognition](https://huggingface.co/spaces/Sarath0x8f/Celebrity_Recognition) (Individual Project)
+### 0. [Celebrity Recognition](https://sarath0x8f-ocr-translator.hf.space) (Individual Project)
 - **Technologies**: Tensorflow, Keras, OpenCV, Django
 - **Description**: Developed a face recognition application utilizing the VGGFace architecture with TensorFlow, achieving exceptional accuracy on a 29-class dataset. The system was deployed via Hugging Face.
 <!--- (Developed a face recognition application utilizing the VGGFace architecture with TensorFlow, attaining exceptional accuracy on 
@@ -54,7 +54,7 @@ To know more on particular project just ask My2.0
     - Integrated optimization strategies for enhanced model performance.
     - [Note book link](https://www.kaggle.com/code/sarath02003/face-recognition-using-vggface2)
 
-### 1. [DearHRSpeakWithMy2.0](https://huggingface.co/spaces/Sarath0x8f/DearHRSpeakWithMy2.0) (Individual Project)
+### 1. [DearHRSpeakWithMy2.0](https://sarath0x8f-dearhrspeakwithmy2-0.hf.space) (Individual Project)
 - **Technologies**: Hugging Face, Gradio, Python, NLP
 - **Description**: Designed an AI-powered HR interview chatbot that showcases candidate skills and experience professionally.
 - **Key Contributions**:
@@ -71,7 +71,7 @@ candidate’s profile and objectives.
 • Strategically designed to guide the conversation towards the candidate's strengths and to clarify their career goals, avoiding 
 misalignment in interview focus.)--->
 
-### 2. [The Linguistic Lens Application](https://huggingface.co/spaces/Sarath0x8f/OCR-Translator) (Individual Project)
+### 2. [The Linguistic Lens Application](https://sarath0x8f-ocr-translator.hf.space) (Individual Project)
 - **Technologies**: Gradio, PaddleOCR, GoogleTranslator, gTTS
 - **Description**: Developed a platform for OCR, translation, and TTS to aid multilingual communication.
 - **Key Contributions**:
@@ -87,7 +87,32 @@ multilingual interactions.
 • Designed to provide practical on-the-go linguistic assistance, supporting robust language processing through integrated OCR 
 and TTS modules.)--->
 
-### 2. SCRAM - Secure Campus Resource and Access Management (Minor Project)
+### 3. [Document Query AI Agent](https://sarath0x8f-document-qa-bot.hf.space) (Individual Project)
+- **Technologies**: LLMs, Vector Embeddings , LlamaIndex
+- **Description**: Developed an AI agent for document-based Q&A, integrating LlamaIndex for efficient data retrieval.
+<!---(Welcome to the Document QA Bot, a sophisticated Retrieval-Augmented Generation (RAG) application that utilizes LlamaIndex and Hugging Face models to answer questions based on documents you upload. This bot is designed to empower you with rapid, insightful responses, providing a choice of language models (LLMs) and embedding models that cater to various requirements, including performance, accuracy, and response time.
+
+✨ Application Overview
+With Document QA Bot, you can interactively query your document, receive contextual answers, and dynamically switch between LLMs as needed for optimal results. The bot supports various file formats, allowing you to upload and analyze different types of documents and even some image formats.
+
+Key Features
+Choice of Models: Access a list of powerful LLMs and embedding models for optimal results.
+Flexible Document Support: Multiple file types supported, including images.
+Real-time Interaction: Easily switch between models for experimentation and fine-tuning answers.
+User-Friendly: Seamless experience powered by Gradio's intuitive interface.
+📂 Supported File Formats
+The bot supports a range of document formats, making it versatile for various data sources. Below are the currently supported formats:
+Documents: .pdf, .docx, .doc, .txt, .csv, .xlsx, .pptx, .html
+Images: .jpg, .jpeg, .png, .webp, .svg
+LLMs - mistralai/Mixtral-8x7B-Instruct-v0.1, meta-llama/Meta-Llama-3-8B-Instruct, mistralai/Mistral-7B-Instruct-v0.2
+, tiiuae/falcon-7b-instruct
+Vector embeddings - BAAI/bge-large-en, BAAI/bge-small-en-v1.5, NeuML/pubmedbert-base-embeddings, sentence-transformers/all-mpnet-base-v2
+, BAAI/llm-embedder
+) --->
+- **Key Contributions**:
+    - Created resilient query retry mechanisms for robust document parsing.
+
+### 4. SCRAM - Secure Campus Resource and Access Management (Minor Project)
 - **Technologies**: Gemini-pro (LLM), Google API, TensorFlow, Keras, OpenCV, Django
 - **Description**: Developed a Django-based system for campus resource management, including features like user management, complaint registration, face recognition attendance, and a chatbot.
 <!--- (Engineered a robust, secure Django-based system for comprehensive college resource and access management, incorporating 
@@ -109,20 +134,8 @@ and TTS modules.)--->
     - Integrated chatbot using LLaMA 3 and Google API.
     - Developed secure user authentication with 2SV.
     - [GitHub Repo]((https://github.com/21bq1a4210/E2E_Project/graphs/contributors))
-    
-### 3. Document and Data Query AI Agent (Individual Project)
-- **Technologies**: Llama3, Ollama, LlamaIndex
-- **Description**: Developed an AI agent for document-based Q&A and CSV data visualization, integrating LlamaIndex for efficient data retrieval.
-<!--- (Created a sophisticated AI agent for document-based Q&A and CSV data visualization, utilizing Llama3 and Ollama for cuttingedge natural language processing. Integrated Llama Indexing for efficient data retrieval and robust document parsing within an 
-        intuitive user interface.
-        • Combined HuggingFace embedding generation and a resilient query retry mechanism, boosting data accuracy and system 
-        reliability.
-        • Demonstrated deep expertise in deep learning and real-time data processing, significantly improving system performance 
-        and user experience.) --->
-- **Key Contributions**:
-    - Created resilient query retry mechanisms for robust document parsing.
 
-### 4. [Personal Portfolio](https://21bq1a4210.github.io/MyPortfolio-) (Individual Project)
+### 5. [Personal Portfolio](https://21bq1a4210.github.io/MyPortfolio-) (Individual Project)
 - **Technologies**: HTML, CSS, JavaScript
 - **Description**: Designed a responsive personal portfolio showcasing my projects and skills, deployed using GitHub Pages.
 <!--- (Designed and developed a responsive personal portfolio("LINK:https://21bq1a4210.github.io/MyPortfolio-/") website using HTML, CSS, and JavaScript, showcasing strong UI/UX principles. Deployed the website online using GitHub Pages, making it accessible for users worldwide. The website features multiple sections, including Home, About, Services, Portfolio, and Contact, providing a comprehensive overview of my skills and projects. Implemented interactive elements like a contact form integrated with EmailJS for seamless communication and added an AI chatbot, Tidio's Lyro, to enhance user engagement and provide additional information about me. Crafted unique visuals using AI-generated images to personalize the portfolio and demonstrate creativity. This project ignited my interest in web development, transforming initial reluctance into enthusiasm for building dynamic and interactive web experiences.) --->
@@ -130,7 +143,7 @@ and TTS modules.)--->
     - Integrated AI chatbot for enhanced engagement.
     - Implemented a contact form with EmailJS.
 
-### 5. Object Segmentation (Individual Project)
+### 6. Object Segmentation (Individual Project)
 - **Technologies**: YOLOv8, OpenCV, RoboFlow
 - **Description**: Built an object segmentation model and implemented functionalities for image processing.
 <!--- (Built a versatile Python script using OpenCV and scikit image for image processing tasks.like object segmentation, using YoloV8, OpenCV, sklearn. Implemented functionalities like grayscale contrast nhancement, image similarity measurement (SSIM), and object segmentation YOLOv8 Demonstrated the script s capabilities through image processing, evaluation, and visualization. Planned to explore integration of advanced deep learning models for further functionalities.