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@Speech-Synthesis

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avkbsurya119/README.md

Header

Typing SVG


LinkedIn Gmail Portfolio GitHub


Coding

About Me

name: Venkata Kanna Bhavan Surya Adapa
location: Hyderabad, India
education: B.Tech CSE @ Amrita University (2023-27)
focus:
  - Distributed Systems
  - Backend Engineering
  - Applied ML/AI
currently: Building scalable real-time systems


Tech Stack

Languages

C++ Python Java TypeScript Dart

Backend & Frameworks

Node.js Express FastAPI Socket.io

Frontend & Mobile

React Flutter TailwindCSS

Databases & Tools

PostgreSQL MongoDB Redis Docker

ML/AI

PyTorch scikit-learn


Featured Projects

Project Description Tech Links
RapidCover AI-powered parametric income insurance for Q-Commerce delivery partners. Zero-touch claims in ~49 seconds. FastAPI React XGBoost Redis GitHub Live
ConversaVoice Distributed real-time voice AI pipeline. 1s first-token latency with Redis semantic caching. Python Redis Async GitHub
Hybrid-IDS-ML-XAI Network intrusion detection with ML + Explainable AI. 99.56% accuracy on CICIDS2017. PyTorch FastAPI XAI GitHub
Closer Real-time encrypted chat. RSA-2048 + AES-256-GCM encryption. React Node.js Socket.io MongoDB GitHub
SocialProphet Hybrid time-series forecasting & generative content agent. Python ML NLP GitHub

GitHub Analytics


Snake animation


Footer

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  1. avkbsurya119 avkbsurya119 Public

    My Portfolio Website

    TypeScript

  2. Speech-Synthesis/ConversaVoice Speech-Synthesis/ConversaVoice Public

    Context-Aware Conversational Voice Synthesizer

    Python 3

  3. ppe-compliance-yolo ppe-compliance-yolo Public

    Python

  4. RapidCover RapidCover Public

    Forked from Anaswarakorangot/RapidCover

    AI-powered parametric income insurance for Q-Commerce delivery partners

    HTML

  5. closer closer Public

    A modern real-time chat app built with React, Node.js, Socket.io & MongoDB

    JavaScript

  6. hybrid-ids-ml-xai hybrid-ids-ml-xai Public

    Production-ready hybrid IDS using ML + XAI for network security. 2-stage detection (Binary + Multiclass) with PyTorch autoencoder for anomaly detection. 99.56% accuracy on CICIDS2017. FastAPI backe…

    Python