MohitGupta41 commited on
Commit ·
9bcb07b
1
Parent(s): 0b6a8eb
Increased Context Window and improved prompt
Browse files- Data/profile_data.md +3 -3
Data/profile_data.md
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@@ -2463,7 +2463,7 @@ A **voice-first personal AI** that lets users talk to “Mohit’s AI voice twin
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### Project Overview
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### Results & Impact
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### Project's Detailed Readme
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#### M.A.R.S.H.A.L (Mohit’s AgenticAI Representation System for Humanized Assistance and Legacy)
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#####
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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.
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### Project Overview
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**MARSHAL** delivers a polished, browser-based assistant that speaks and listens in real time. Users ask questions via mic (or text), the frontend relays queries to a FastAPI backend, and the backend generates **strictly grounded** answers from a curated profile markdown. The UI provides **provider/model controls**, **API key inputs**, **TTS tuning**, and a floating card of **links extracted** from the most recent answer. Designed for demos, portfolios, and hands-free Q\&A, it keeps responses concise, first-person, and date-aware.
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### Results & Impact
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MARSHAL gives portfolio visitors and recruiters a **hands-free, humanized** way to explore Mohit’s work. The system proves out a **production-lean agentic pattern**—voice capture → grounded LLM → friendly speech output—while keeping security conscious (no hardcoded keys) and deployment-ready (static SPA + serverless API).
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### Project's Detailed Readme
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#### M.A.R.S.H.A.L (Mohit’s AgenticAI Representation System for Humanized Assistance and Legacy)
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##### MARSHAL Frontend Readme
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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.
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