Open-Source · Apache 2.0

See it from space.
Confirm it from the sky.
Respond before it's too late.

An AI-driven platform combining satellite screening, autonomous drone verification, and precision response — for disease control, fire control, animal surveillance, flood monitoring, and emergency delivery.

1
Active pilot · 4 planned domains
72h
Flag to response
80%
Less resource waste
The Problem

Climate change and emergencies are outpacing manual response.

Warming temperatures, shifting weather patterns, and growing climate volatility are creating new risks — disease outbreaks, wildfires, floods, wildlife loss — faster than manual, ground-based response can keep up.

10×
Climate-driven risk
Disease, fire, and flood risk have multiplied across vulnerable regions in the past decade.
2–4 wk
Detection lag
Paper-based and manual surveillance means emergencies are found weeks too late.
~30%
Manual response accuracy
Ground teams reach only a fraction of at-risk zones with blanket, unguided response.
Current approach
  • Paper-based surveillance, 2–4 week lag
  • Field teams patrol at-risk zones — find ~30% of targets
  • Blanket response regardless of confirmation
  • No early warning — reactive, not predictive
With Drishti
  • Satellite screens 100% of district area weekly, free
  • Drone validates only flagged zones — 70–80% fewer flights
  • Precision response at confirmed sites only
  • 4–6 week risk prediction from fused data
The Solution

Three tiers. One mission. Faster response.

Each stage costs less and moves faster than the one before. Satellite screens everything. Drone validates what matters. Intervention targets only what is confirmed — with a full georeferenced audit trail from pixel to response.

🛰️01
Satellite

Wide-area screening

Sentinel-2 imagery scans entire districts weekly at 10m resolution. Change detection flags the target signature for the active mission automatically. Zero marginal cost. 100% district coverage.

70–80% fewer drone flights vs. blanket survey
🚁02
Autonomous UAV

Drone verification

Autonomous drones target only satellite-flagged zones, capturing sub-10cm imagery. AI detects the target signature for the active mission — standing water, thermal anomaly, wildlife presence, flood extent, or drop zone. Close-range descent confirms when needed.

48-hour verification · survey + nano-shot confirmation
💧03
Payload swap

Precision intervention

Confirmed targets trigger a response mission. Same drone airframe — payload swapped for the mission (larvicide tank, retardant canister, tracking tag, supply pod) in under 5 minutes. Precision delivery at exact confirmed coordinates only.

60–80% less response material vs. blanket application

End-to-end cycle: 72 hours vs. 2–4 weeks manually·Same drone, swappable payload, three stages — across five missions.

How It Works

Detect → Verify → Respond → Predict. One shared pipeline, five missions.

The same satellite-to-drone architecture powers every scope. Open any mission for its full step-by-step pipeline.

🛰️

Detect

Satellite screens 100% of the district, weekly, free.

🚁

Verify

Drone confirms only the flagged zones, sub-10cm imagery.

🎯

Respond

Same airframe, payload swapped, precision intervention.

📊

Predict

Fused data forecasts risk 4–6 weeks ahead.

Explore all five missions →
The Team

Built by drone engineers and public health experts.

A cross-disciplinary team combining deep software engineering, epidemiology expertise, and operational drone experience in Nepal.

BBinaya Tripathi
BuildersAcademy.ai
Binaya Tripathi
Founder
Vision · Strategy · Partnerships
Founded BuildersAcademy.ai and set the vision for Drishti — turning satellite and drone data into actionable public health intervention.
DDipak Sharma
BuildersAcademy.ai
Dipak Sharma
Project Lead
Backend · ML · Infrastructure · Drone Systems
Building the full satellite-to-drone-to-prediction pipeline. Leads technical architecture, model development, and platform infrastructure at BuildersAcademy.ai.
RRishav Subedi
BuildersAcademy.ai
Rishav Subedi
Drone Developer
UAV Hardware · Flight Firmware · Autonomous Systems
Designs and builds the drone hardware and flight firmware powering low-altitude verification and intervention missions at BuildersAcademy.ai.
PPratik Thapa
BuildersAcademy.ai
Pratik Thapa
Full-Stack Developer
Dashboard · API Integration · Admin Panel
Builds the MapLibre dashboard, API integration, and admin panel that turn satellite, drone, and IoT data into a live tool for FCHVs and district health officers at BuildersAcademy.ai.
BuildersAcademy.ai
Platform engineering and AI research lead behind Drishti
buildersacademy.ai →
Roadmap

Foundation → Pilot → Scale.

A disciplined 12-month path to measurable impact, starting with Disease Control in Nepal — designed to expand across five response domains and to any country facing these hazards.

Complete
Q2 2026
Foundation
  • ·Open-source codebase — Apache 2.0, all code on GitHub
  • ·Satellite NDWI pipeline — Chitwan demo data
  • ·YOLOv8 survey + EfficientNet nano-shot models trained
  • ·FastAPI backend with XGBoost prediction engine
  • ·MapLibre dashboard + landing page
Planned
Q3 2026
Nepal Pilot
  • ·Live Sentinel-2 acquisition (weekly automated)
  • ·First drone survey flights in Chitwan district
  • ·Real annotated dataset → model retrain
  • ·Nepal MoHP / EDCD dashboard onboarding
  • ·First complete verify→validate→execute cycle
Planned
Q4 2026
Scale
  • ·3 additional Nepal districts
  • ·Malaria + Japanese Encephalitis models
  • ·Offline-first PWA for field workers
  • ·Peer-reviewed impact metrics published
Future
2027+
Expansion
  • ·India and Bangladesh pilots
  • ·Multi-country adaptation guide
  • ·Aquaculture monitoring vertical
  • ·Open-source community in 5+ countries
  • ·Fire Control and Flood Monitoring pilot programs
Get Involved

Partner with us. Build with us.

Are you a public health authority, emergency response agency, NGO, research institution, or developer working on climate-response challenges? We want to hear from you — especially if you operate in a region facing disease, wildfire, flooding, wildlife, or emergency-logistics challenges.

Health authorities: Pilot with us in your district
Developers: Contribute on GitHub — Apache 2.0
Researchers: Access anonymized datasets for study
Funders: Support open-source public health infrastructure