Based on all that back-and-forth, here’s a rough MVP bullet-point list for the Transparency-Based Project Tracking App (Nepal Municipalities Dashboard):
Homepage with project overview and stats.
Dashboard to perform CRUD operations on candidates
- Candidate Background
- Allegations management system
- Acheivements management system
- Career history management system
- Media coverage management system
User authentication and role management (admin, fact-checker, general user)
Basic search and filter functionality for candidates
Responsive design for mobile and desktop
Candidate Profile Pages
- Detailed candidate information
- List of allegations with status (verified, unverified, dismissed)
- Printables Cards PNG, PDF
- Rating system
Basic details: project name, type (road, school, hospital, etc.), municipality, contractor, budget, start & end date.
Source tag (Govt, citizen, media, NGO).
Scraped from government/public portals.
Citizen uploads (photos, updates).
NGO/Journalist submissions.
Peer review (upvotes/downvotes).
Fact-checker role (volunteers/journalists verify).
Marked as “Verified” only after cross-checking with govt/public records.
Basic user signup (crowdsourced contributors).
Fact-checkers (flagged as trusted).
Admin/superuser (to resolve disputes, manage platform).
Project Status Updates
Progress % + milestone tracking.
Time-stamped photos or documents.
QR codes at project sites linking to dashboard.
Audit trail (every edit is logged, visible).
Trust score / credibility indicator per update.
Search by municipality, project type, contractor.
Filter by ongoing/completed/abandoned.
Map view for geolocation.
- Users can comment, flag irregularities, or confirm completion.
Govt Integration – Official municipality logins to directly update data.
Nagarik App / ID Verification – Optional for contributors/fact-checkers.
Social Media Sharing – To increase visibility.
Donation / Contribution Option – Citizens directly support projects. (also show how much and the name of the person if permitted, and how it is being spent)
AI Assistance – Auto-flagging suspicious or duplicate data.
👉 The MVP should start with infrastructure & development projects only (roads, bridges, toilets, schools, hospitals, parks). 👉 Data gathering begins with scraping public government sites + crowdsourced reports, then building fact-check workflows on top.