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Infravision

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AI-Powered DPR Quality Assessment & Risk Prediction System

πŸš€ Overview

This project was developed for the Smart India Hackathon 2025 to address Problem Statement SIH25185 for the Ministry of Development of North Eastern Region (MDoNER).

The system automates the evaluation of Detailed Project Reports (DPRs), ensuring they meet government standards while using predictive analytics to forestall project delays and risks.

✨ Key Features

  • Automated Scoring: Uses NLP to scan DPRs for required sections and compliance.
  • Risk Prediction: ML models to forecast potential bottlenecks in regional development.
  • Interactive Dashboard: Real-time visualization of project health and assessment metrics.

πŸ› οΈ Tech Stack

  • Frontend: React.js
  • Backend: Node.js
  • AI/ML: Scikit-learn, TensorFlow/PyTorch, NLTK/Spacy
  • Database: MongoDB

πŸ† SIH 2025

  • Team: Xplore
  • Nodal Center: Shillong, Meghalaya

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An AI-powered platform for automated quality assessment and predictive risk scoring of Detailed Project Reports (DPRs) for infrastructure development.

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