Based on all that back-and-forth, hereโs a rough MVP bullet-point list for the Transparency-Based Project Tracking App (Nepal Municipalities Dashboard):
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Homepage with project overview and stats.
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Dashboard to perform CRUD operations on candidates
- Candidate Background
- Allegations management system
- Acheivements management system
- Career history management system
- Media coverage management system
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User authentication and role management (admin, fact-checker, general user)
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Basic search and filter functionality for candidates
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Responsive design for mobile and desktop
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Candidate Profile Pages
- Detailed candidate information
- List of allegations with status (verified, unverified, dismissed)
- Printables Cards PNG, PDF
- Rating system
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Basic details: project name, type (road, school, hospital, etc.), municipality, contractor, budget, start & end date.
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Source tag (Govt, citizen, media, NGO).
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Scraped from government/public portals.
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Citizen uploads (photos, updates).
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NGO/Journalist submissions.
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Peer review (upvotes/downvotes).
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Fact-checker role (volunteers/journalists verify).
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Marked as โVerifiedโ only after cross-checking with govt/public records.
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Basic user signup (crowdsourced contributors).
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Fact-checkers (flagged as trusted).
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Admin/superuser (to resolve disputes, manage platform).
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Project Status Updates
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Progress % + milestone tracking.
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Time-stamped photos or documents.
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QR codes at project sites linking to dashboard.
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Audit trail (every edit is logged, visible).
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Trust score / credibility indicator per update.
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Search by municipality, project type, contractor.
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Filter by ongoing/completed/abandoned.
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Map view for geolocation.
- Users can comment, flag irregularities, or confirm completion.
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Govt Integration โ Official municipality logins to directly update data.
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Nagarik App / ID Verification โ Optional for contributors/fact-checkers.
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Social Media Sharing โ To increase visibility.
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Donation / Contribution Option โ Citizens directly support projects. (also show how much and the name of the person if permitted, and how it is being spent)
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AI Assistance โ Auto-flagging suspicious or duplicate data.
๐ The MVP should start with infrastructure & development projects only (roads, bridges, toilets, schools, hospitals, parks). ๐ Data gathering begins with scraping public government sites + crowdsourced reports, then building fact-check workflows on top.