A preventive, personalized, and affordable COVID-19 tracking and escalation web app — built when the world needed one most.
- What — HopeVid is a web + mobile application that screens, tracks, and escalates suspected COVID-19 cases through a chatbot pre-screening, doctor video consultation, lab test booking, and a separate mental-health companion bot.
- Who — Team codeBlooded from SRM Institute of Science and Technology, Kattankulathur: Aaishika S Bhattacharya (Team Lead), Souharda Biswas, Akash Ramjyothi, and Gyanesh Samanta.
- When — June 2020, during the first COVID-19 wave in India.
- Where — HackRx 1.0 by Bajaj Finserv Health Rx — the team finished as 2nd Runners Up.
- Why — In June 2020 India had crossed 290,000+ confirmed cases and entered Stage 3 community transmission. Hospital capacity, not the curve, was the bottleneck. HopeVid focused on "raising the line."
The COVID problem in mid-2020 was not just medical, it was logistical. People with mild or ambiguous symptoms had no fast way to know whether to self-isolate, see a doctor, or book a test — and physical clinics were either locked down or overwhelmed. Information was scattered across news sites, government dashboards, and social media. Mental health, the silent second pandemic, was not on anyone's product roadmap.
Team codeBlooded designed STAE-C — Systematic Tracking and Escalation Checking — a simple linear flow: a chatbot pre-screen for symptoms, an automatic referral to a doctor inside a built-in video consultation room (powered by Agora RTC), test booking through partner pathology labs, and conditional escalation to authorities only when results came back positive. A second Mental Health chatbot ran in parallel, doing mood check-ins and surfacing engaging activities during lockdown. The whole thing was wrapped in deliberately minimalist UI so users across age groups could navigate it.
The build spanned three weeks: Week 1 research, Week 2 the pitch deck, Week 3 the hackathon prototype itself. The team shipped a multi-page web app, an embedded Agora-based video consultation room, two DialogFlow chatbots, and a React Native WebView wrapper for mobile — and walked away with 2nd Runners Up at HackRx 1.0.
A detailed API Approach.pdf is included in the repo for the full system design.
- Frontend: HTML, CSS, JavaScript, Bulma CSS framework, LineIcons
- Mobile: React Native (WebView wrapper)
- Chatbots: DialogFlow (Google) — symptom pre-screening + mental health companion
- Video Consultation: Agora RTC SDK 3.1.1
- Maps / Location: Mapbox
- Backend / Auth / Data: Firebase + Firestore
- Cloud: Microsoft Azure
- Hosting: Netlify (initial testing)
HackRx1.0/
├── index.html # Entry point
├── Web-Components/ # All HTML pages, styles, auth + storage JS
│ ├── Hero.html, About.html, Chatbot.html, MHealth.html
│ ├── HopeVid.html, News.html, Statistics.html, Report.html
│ ├── Login.html, Register.html, Timeline.html, NavBar.html
│ ├── auth.js, loginAuth.js, reportStorage.js
│ └── styles.css, log.css, assets/
├── Video-Conference/ # Agora RTC video consultation room
│ ├── index.html, AgoraRTCSDK-3.1.1.js, vendor/, assets/
├── Repository-Assests/ # Winner image and media
└── API Approach.pdf # System / API design document
This is a static-first prototype — no build step.
git clone https://github.com/GyaneshSamanta/HackRx1.0.git
cd HackRx1.0
# Option 1: open directly
open index.html # macOS
start index.html # Windows
# Option 2: any static server
npx http-server . # then visit http://localhost:8080Add your own DialogFlow agent ID, Firebase config, Mapbox token, and Agora app ID into the relevant HTML/JS files before running the chatbot, auth, maps, or video features.
Issues and pull requests are welcome. This is an archived hackathon project, so expect responses to be slow.
Released under the MIT License.
Team codeBlooded, SRM IST Kattankulathur:
2nd Runners Up — HackRx 1.0 by Bajaj Finserv Health Rx (2020).