Maitighar

A community-driven grievance redressal platform for reporting and visualizing local issues. Maitighar was built to bridge the communication gap between citizens and local authorities by providing a digital platform for issue reporting, map visualization, and community-driven prioritization.

Traditional grievance systems are slow, inaccessible, and lack transparency, making it difficult for communities to raise urgent local issues effectively.

• User Registration and Authentication
• Map Visualization
• Issue Reporting
• Upvote Mechanism
• Admin Dashboard
• ML Implementation (Sentiment Analysis & Text Summarization)
• Report validation and verification

• Developed using MongoDB, Express.js, React.js, and Node.js with modular architecture for maintainability and future scalability.
• Integrated Python-based sentiment analysis and summarization pipelines to provide actionable insights for governance.
• Implemented geolocation-based issue visualization for accurate reporting and spatial awareness using OpenStreetMap API Integration.
• Combined real-time reporting with analytics-driven governance to bridge public concerns with actionable administrative decisions.
• Applied bcrypt password hashing and secure role-based authorization.

• Designed and developed the full-stack MERN application architecture
• Built user authentication, issue reporting, suggestion, and upvote systems
• Integrated OpenStreetMap for map-based reporting and visualization
• Implemented ML for sentiment analysis and text summarization
• Developed admin and moderator workflows for governance and report validation
• Focused on scalability, usability, and security to ensure real-world deployment readiness