Basic Details
| Item | Value |
|---|---|
| Title | JàmmTech Election Shield – AI Social-Media Threat Monitoring for Female Candidates |
| Type | Web App |
| Difficulty | 65 |
| Ideal Capital | 8000 |
| ROI | 150% |
| ETA on ROI | 1.5 |
| Target Audience | Female political candidates, campaign managers, political parties, women’s rights NGOs, and election observation missions in Senegal. |
| Target Countries | Senegal (primary); expandable to Côte d’Ivoire, Mali, Burkina Faso, Guinea, and other francophone African election markets. |
| Target Demographics | Women aged 25-60, urban and peri-urban, educated, active on Facebook/X/TikTok/Instagram, running for office or managing campaigns; French and Wolof speakers; major Senegalese ethnic groups (Wolof, Pulaar, Serer); interests include politics, women’s empowerment, and civic tech. |
| Description | Build a lightweight SaaS web app plus WhatsApp bot that monitors public social media for harassment, threats, defamation, and coordinated fake accounts targeting female candidates. The system auto-captures screenshots, timestamps, URLs, and account IDs into an encrypted evidence vault, then generates Loi 53.25-compliant takedown requests and legal reports. Candidates get a dashboard with a risk score and one-click report export. Monetization: tiered monthly subscriptions (Basic 25,000 FCFA ≈ $40, Pro 75,000 FCFA ≈ $125, Crisis 150,000 FCFA ≈ $250), a setup fee, and per-legal-report fees; NGOs and parties can buy bulk licenses. Tech stack: Next.js/Node, PostgreSQL, Cloudinary/S3 for evidence storage, WhatsApp Business API, OpenAI/Hugging Face abuse-detection models, deployed on Vercel/Railway. Launch a 4-week MVP immediately to capture the pre-election peak. |
| Monetization | Tiered SaaS subscriptions, one-time setup fee, per-takedown-report fee, and NGO/donor-funded bulk licenses for candidate cohorts. |
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