Inspiration

Every 71 seconds in India, a crime is committed against a woman, and globally, 1 in 3 women will face violence in their lifetime. As a developer living in the Kanpur region, I’ve seen families grapple with an unfair choice to protect their loved ones: either hand a young child a smartphone way too early, or buy a premium safety tracker.

But the safety market is broken. Most affordable trackers are glorified Bluetooth buttons—completely useless without a paired phone nearby. The few standalone wearables cost thousands of rupees and trap families in expensive $10–$30 monthly subscriptions. I realized that personal protection shouldn't be a luxury, and it shouldn't look like a stigmatizing, bulky clinical monitor. This inspired the concept for Saathi: an affordable, standalone AI safety wearable disguised as a beautiful gift.

What it does (Conceptual Vision)

Saathi is designed to be a proactive, AI-assisted safety wearable styled as an aesthetic accessory (like a keychain, pendant, or bag clip) for Gen-Z youth, women, and the elderly.

  • Proactive AI Detection: Unlike reactive panic buttons, the Saathi concept incorporates an independent cellular module and onboard AI to detect the exact G-force impact of a fall or the erratic motion signature of a physical struggle.
  • The "Safe Game" Failsafe: Upon detecting danger, it auto-dials family with live 2-way audio. If unanswered, the system instantly cascades the alert, records ambient audio for evidence, and texts GPS coordinates directly to India’s 112 emergency response system.
  • Hybrid Community Network: Because police can take 15 minutes to arrive, Saathi bridges the gap. The API draws a 500-meter radius around the victim and instantly pings the smartphones of verified, on-duty private security guards at nearby apartment complexes—acting as the "Uber" of physical safety.

How we designed the architecture

While currently in the idea phase, the system architecture is fully mapped out. Drawing on my experience as a Class 12 ISC full-stack developer building robust systems like the Naksha bot and EduFlow AI, I have architected Saathi to be highly scalable and ultra-low latency.

  • Hardware Blueprint: The wearable is conceptually modeled around a low-power independent cellular module and a 6-axis AI accelerometer.
  • Backend & Automation: I have mapped out the backend infrastructure using Supabase for secure, real-time relational data management. To handle the complex "Safe Game" fallback logic (cascading SMS, calling, and 112 integration), I designed event-driven workflows utilizing n8n.
  • Frontend UI: The companion app—used by families to set up the device and by private security guards to receive dispatch pings—is currently being prototyped using FlutterFlow, ensuring a seamless, native-feeling UI.
  • Geospatial Dispatch Logic: To power the Hybrid Community Network, our backend will query active security personnel within a strict radius. We utilize the Haversine formula to compute the great-circle distance $d$ between the wearable's coordinates $(\phi_1, \lambda_1)$ and the guard's coordinates $(\phi_2, \lambda_2)$:

$$d = 2r \arcsin\left(\sqrt{\sin^2\left(\frac{\phi_2 - \phi_1}{2}\right) + \cos(\phi_1)\cos(\phi_2)\sin^2\left(\frac{\lambda_2 - \lambda_1}{2}\right)}\right)$$

If the calculated distance $d \le 500$ meters, the system triggers the high-priority dispatch ping.

Challenges we navigated during ideation

The biggest challenge during the conceptual phase was the business model. We had to figure out how to offer standalone cellular safety without burdening middle-class families with a monthly subscription. We solved this by designing the hardware architecture to run strictly on standard prepaid cellular networks, driving the projected one-time retail cost down to an accessible ₹1,499.

Additionally, theorizing the routing logic for the Hybrid Community Network required rigorous backend planning to ensure that a dispatch request wouldn't fail or timeout during high-stress edge cases.

Accomplishments that we're proud of

I am incredibly proud of marrying hardware innovation with consumer psychology in our blueprints. By positioning Saathi not as a tracker, but as an aesthetic surprise gift for birthdays or Raksha Bandhan, we designed a way to bypass the stigma associated with safety tech. People won't just carry it; they will actually want to wear it.

Furthermore, conceptualizing the Uber-style security dispatch grid shifts the industry paradigm from simply reporting a crime to actively preventing it in under 60 seconds.

What we learned

During this design phase, I learned that the best technology is invisible. Building complex full-stack applications in the past taught me how to handle data, but conceptualizing Saathi taught me that physical hardware requires deep empathy for the end-user. A wearable must seamlessly integrate into a person's daily lifestyle, or it will end up forgotten in a drawer when they need it most.

What's next for Saathi

Our immediate next step is moving from the idea phase into physical prototyping. Once the MVP hardware is assembled, we will run our initial network stress-tests right here in the semi-urban environments of Kanpur, specifically targeting areas like Rooma and Chakeri. This will prove our cell-tower fallback holds up exactly where our tier-2 and tier-3 target market lives.

Built With

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