Increased Context Window and improved prompt

Data/profile_data.md

@@ -125,8 +125,8 @@ An end-to-end medical assistant that combines **RAG Q\&A**, **agentic workflows*
 Frontend in **Streamlit**, backend in **FastAPI**, persistence with **SQLite/Supabase**, and embeddings via **SentenceTransformers** (offline compatible).
 This Project is real time project in which real time registration of patients, appointment confirmation, medicine stock status and patient case summaries can be seen.
 
-##### [Deployed Link](https://medical-agentic-ai-bot-mohit-gupta.streamlit.app/)
-##### [Deployed Backend Link](https://mohitg012-medical-bot-agentic-ai.hf.space)
+##### Deployed Link: https://medical-agentic-ai-bot-mohit-gupta.streamlit.app/
+##### Deployed Backend Link: https://mohitg012-medical-bot-agentic-ai.hf.space
 
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@@ -523,7 +523,7 @@ The project enables **high-quality, layout-preserving PDF translation** for lega
 ### Project's Detailed Readme
 #### PDF Translate — Automated PDF Translation & Redaction (Python)
 
-##### [DEPLOYED LINK](https://mohitg012-pdf-translation.hf.space/)
+##### DEPLOYED LINK: https://mohitg012-pdf-translation.hf.space/
 
 Automate high-quality translation and selective redaction of PDFs while **preserving layout, font sizing, and colors**. The project blends:
 
@@ -1003,7 +1003,7 @@ Planned improvements include integrating CI/CD pipelines using GitHub Actions or
 
 The **Fraud Detection MLOps Pipeline** is an end-to-end system designed to identify potentially fraudulent financial transactions with high accuracy and scalability. This project integrates **Machine Learning (ML) with MLOps principles** to ensure robust experimentation, deployment, and real-time monitoring of fraud detection models.
 
-##### DEMO LINK - [LINK](https://frauddetectionmlops.streamlit.app/)
+##### DEMO LINK: https://frauddetectionmlops.streamlit.app/
 
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@@ -1454,7 +1454,7 @@ A beautiful and personalized 📈 **Study Progress Dashboard** built using **Str
 
 ##### 🚀 Live Demo
 
-👉 **[LIVE APP!](https://study-tracker-application-mohit.streamlit.app/)**
+👉 **LIVE APP! : https://study-tracker-application-mohit.streamlit.app/**
 
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@@ -1644,7 +1644,7 @@ Planned improvements include **multi-document support**, **automated graph build
 #### 🧠 GraphRAG: eBay User Agreement Chatbot
 A Knowledge Graph-Powered Conversational AI built to answer legal and policy-related queries from the eBay User Agreement using **Neo4j**, **LLMs (Meta LLaMA 3B)**, and **Memory via FAISS**.
 
-##### 🌐 Website - [DEMO](https://graphrag-ebay-user-aggrement-chatbot.streamlit.app/)
+##### 🌐 Website - https://graphrag-ebay-user-aggrement-chatbot.streamlit.app/
 
 ##### 💡 Project Motivation
 
@@ -1955,7 +1955,7 @@ Planned improvements include **user authentication with persistent history**, **
 ##### (Fashion Visual Search & Personalized Styling Assistant)
 A modern **AI-powered web application** that helps users **search for visually similar fashion products**, receive **outfit recommendations** based on their style preferences and **simulate personalized experiences** using recent trends and LLMs — all in one elegant interface built with **Streamlit**, **CLIP**, and **Gemma LLM**.
 
-##### 🌐 Website - [DEMO](https://fashion-sense-ai.streamlit.app/)
+##### 🌐 Website : https://fashion-sense-ai.streamlit.app/
 
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@@ -2012,11 +2012,11 @@ Fashion AI/
 
 ##### 🛠️ Tech Stack
 
-* **Frontend**: [Streamlit](https://streamlit.io/)
-* **Image Embeddings**: [CLIP (ViT-L/14)](https://github.com/openai/CLIP)
-* **Text Embeddings**: [SentenceTransformers](https://www.sbert.net/)
-* **LLM Suggestion Engine**: [Gemma-3B](https://huggingface.co/google/gemma-1.1-2b-it) (via HF Inference API)
-* **Nearest Neighbors Search**: [FAISS](https://github.com/facebookresearch/faiss)
+* **Frontend**: Streamlit
+* **Image Embeddings**: CLIP (ViT-L/14)
+* **Text Embeddings**: SentenceTransformers
+* **LLM Suggestion Engine**: Gemma-3B (via HF Inference API)
+* **Nearest Neighbors Search**: FAISS
 * **Trends Analysis**: Web scraping + TF-IDF on product metadata
 * **Deployment-ready**: Works on Streamlit Cloud
 
@@ -2047,7 +2047,7 @@ streamlit run app.py
 
 4. **Enter Hugging Face Token**
 
-* Get your free token from: [https://huggingface.co/settings/tokens](https://huggingface.co/settings/tokens)
+* Get your free token from: https://huggingface.co/settings/tokens
 * Paste it in the **sidebar** to access outfit suggestions using the Gemma model.
 
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@@ -2220,7 +2220,7 @@ streamlit run kspace.py
 
 ##### 🧠 Learn More
 
-- [MRI Physics and k-space Explained](https://mriquestions.com/index.html)
+- MRI Physics and k-space Explained - https://mriquestions.com/index.html
 
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@@ -2228,7 +2228,7 @@ streamlit run kspace.py
 
 No need to set up locally!  
 Access the live version here:  
-👉 **[Launch App](https://mri-image-reconstruction-using-kspace.streamlit.app/)**
+👉 **Launch App: https://mri-image-reconstruction-using-kspace.streamlit.app/**
 
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@@ -2455,9 +2455,9 @@ This is this project with which you are interacting.
 
 A **voice-first personal AI** that lets users talk to “Mohit���s AI voice twin.” The system pairs a **React + Web Speech API** frontend with a **FastAPI** backend grounded on your profile markdown. It supports **speech-to-text**, **text-to-speech**, **LLM provider/model switching** (Gemini / Hugging Face), **link extraction**, and secure **key handling**—all wrapped in a clean chat UI.
 
-**Live Frontend:** [https://m-a-r-s-h-a-l.vercel.app/](https://m-a-r-s-h-a-l.vercel.app/)
-**Backend (Vercel):** [https://m-a-r-s-h-a-l-backend.vercel.app/](https://m-a-r-s-h-a-l-backend.vercel.app/)
-**Backend (HF Spaces):** [https://mohitg012-voice-bot-portfolio-backend.hf.space/](https://mohitg012-voice-bot-portfolio-backend.hf.space/)
+**Live Frontend:** https://m-a-r-s-h-a-l.vercel.app/
+**Backend (Vercel):** https://m-a-r-s-h-a-l-backend.vercel.app/
+**Backend (HF Spaces):** https://mohitg012-voice-bot-portfolio-backend.hf.space/
 
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@@ -2547,7 +2547,7 @@ M.A.R.S.H.A.L. gives portfolio visitors and recruiters a **hands-free, humanized
 
 A sleek, voice-driven React frontend that connects to your **Voice Twin Backend** (FastAPI) and lets users talk to “Mohit’s AI voice twin”. It supports **speech-to-text**, **text-to-speech**, and **link extraction**, and it can talk to either **Gemini** or **Hugging Face** models via your backend.
 
-###### [VERCEL LINK](https://m-a-r-s-h-a-l.vercel.app/)
+###### VERCEL LINK: https://m-a-r-s-h-a-l.vercel.app/
 
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@@ -2826,8 +2826,8 @@ e) Backend allow-list
 ##### Voice Twin Backend — README (FastAPI + Gemini/HuggingFace)
 > **Purpose:** A lightweight API that turns your Markdown résumé/profile into a **voice-ready Q\&A agent**. It prompts an LLM to answer **only** from your provided context, with first-person tone (“I…”) and today’s date awareness.
 
-###### [VERCEL BACKEND LINK](https://m-a-r-s-h-a-l-backend.vercel.app/)
-###### [HUGGING FACE SPACES LINK](https://mohitg012-voice-bot-portfolio-backend.hf.space/)
+###### VERCEL BACKEND LINK : https://m-a-r-s-h-a-l-backend.vercel.app/
+###### HUGGING FACE SPACES LINK : https://mohitg012-voice-bot-portfolio-backend.hf.space/
 
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