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poshalanavateja/README.md

Hi there, I'm Navateja! 👋

I'm a final-year Computer Science student passionate about Artificial Intelligence, Deep Learning, and System Design. Currently, I am actively preparing for my Master's studies in Computer Science/Artificial Intelligence in the US.

I enjoy building end-to-end intelligent systems—from training deep neural networks for medical imaging to architecting scalable LLM-powered backend workflows.

🛠️ Skills & Technologies

  • Languages: Python, JavaScript, TypeScript, SQL, C++
  • Machine Learning / AI: PyTorch, TensorFlow, LangChain, LangGraph, Scikit-Learn
  • Web & Backend: FastAPI, Node.js, Express, React, PostgreSQL, MongoDB
  • Tools & DevOps: Git, Docker, AWS, Linux

🚀 Featured Projects

🔍 Deepfake Video Detection

A deep learning pipeline designed to identify manipulated video frames and detect deepfakes.

  • Tech: Python, PyTorch, CNN, LSTM, OpenCV
  • Highlight: Achieved robust detection accuracy on the Celeb-DF dataset using a hybrid spatiotemporal architecture.

🧠 Vendor Bid Evaluation AI

An intelligent multi-agent system that automates the evaluation of vendor proposals against RFP requirements.

  • Tech: Python, FastAPI, LangChain, LangGraph, LLMs (Gemini)
  • Highlight: Automates clause-by-clause compliance checking and builds audit-ready evaluation reports in real-time.

⚕️ Parkinson's Disease Prediction ML

A predictive healthcare model utilizing biomedical data to flag early-stage Parkinson's markers.

  • Tech: Python, Scikit-Learn, Random Forest, EfficientNet
  • Highlight: Integrates voice and handwritten signals to maximize early detection capabilities.

🛒 Zordr Ecosystem

A complete end-to-end ordering platform featuring a scalable backend, a partner app, and an admin web dashboard.

  • Tech: Node.js, Express, React, React Native
  • Highlight: Demonstrates robust full-stack engineering, API development, and distributed system design.

📫 Let's Connect!

Actively seeking AI/ML Research Internships.

Pinned Loading

  1. Deepfake-Video-Detection Deepfake-Video-Detection Public

    Deep learning pipeline using a hybrid CNN-LSTM architecture to detect manipulated video frames and identify deepfake content.

  2. Parkinsons-Disease-Prediction-Ml Parkinsons-Disease-Prediction-Ml Public

    Machine learning system for early Parkinson’s disease prediction using multimodal biomedical data (voice and handwriting) with Random Forest and EfficientNet models.

    JavaScript 1

  3. Vendor-Bid-Evaluation-Ai Vendor-Bid-Evaluation-Ai Public

    AI-powered multi-agent system that analyzes vendor proposals and evaluates compliance with RFP requirements using LLM workflows.

    Python