Multilingual Meeting-Minutes App Development
Budget: ₹12,500 – ₹37,500 INR
Minutes‑in‑Minutes — Cross‑Platform Multilingual Meeting‑Minutes (MoM) Assistant
1. Why We’re Hiring
We need a lean, highly skilled freelance team to build a production‑ready app that can identify each speaker automatically, capture everything they say in real time, and file the notes directly under that speaker’s name—even when people switch between English and Indian regional languages mid‑sentence. Instant, shareable Minutes of Meeting (MoM) should land in everyone’s inbox (or WhatsApp) the moment a meeting ends.
Speaker ID + diarised notes are absolutely mission‑critical. If your solution can’t tag speakers accurately within ~3 seconds of them talking, this project isn’t a fit.
2. Core Use‑Cases
Scenario
Board & project reviews Decisions and action owners are clear—no “who said what” disputes.
Client calls / sales demos Professional MoM auto‑emailed to prospects, shortening sales cycles.
Vendor negotiations Tamper‑proof record of price & delivery terms.
Hybrid & multilingual meetings Seamless code‑switching across English + 12 key Indian languages.
3. Must‑Have Features
Real‑Time Speaker Identification
≤3 s latency from speech to diarised text
5‑10 s intro enrolment for new voices
Works on in‑person room mic and virtual calls (Zoom, Meet, Teams)
Multilingual, Code‑Switching ASR
English + Hindi, Marathi, Tamil, Telugu, Gujarati, Bengali, Kannada, Malayalam, Punjabi, Odia, Urdu, Assamese
Accurate in “Hinglish” and mixed sentences
Instant MoM Generator
Sections: Decisions, Action Items (owner + deadline), Next Steps
Export: Email (HTML), DOCX, PDF, Markdown
One‑tap share to WhatsApp, Slack, Teams
Integrations & Extensibility
Google/Outlook calendar titles & invites
Zapier/Webhook for CRM & JIRA tasks
API layer so we can embed it in other products later
Privacy & Compliance
End‑to‑end encryption (TLS 1.3, AES‑256 at rest)
Role‑based access; host can delete recordings
Optional offline/on‑prem Docker stack for banks/defence
4. Deliverables & Timeline (Lean Version)
Phase Key Output Target Duration
Discovery Final architecture, wireframes, language‑model plan 2 weeks
Alpha Web demo + mobile wrapper; EN & HI live transcript; basic diarisation 6 weeks
Beta Add 4 more languages; MoM email; calendar & Slack hooks 8 weeks
v1 Prod 12‑language pack; on‑prem option; UI polish; SOC‑2‑aligned security 6 weeks
Launch & Support Code, CI/CD, 30‑page doc, 14‑day bug‑fix SLA 2 weeks
Budget target: ₹ 12 – 14 lakh (detailed milestone split available).
*We will escrow every milestone.
5. Tech Stack (Preferred—open to better ideas)
UI: Flutter or React Native + React Web
Backend: Python (FastAPI) or Node.js (NestJS)
ASR: OpenAI Whisper / NVIDIA NeMo / custom wav2vec‑2 fine‑tunes
Speaker Diarisation: pyannote.audio / Resemblyzer
LLM Summaries: GPT‑4o, Claude 3 or Mixtral via prompt‑chain
DB: PostgreSQL, Redis, S3‑compatible storage
DevOps: Docker, Kubernetes, GitHub Actions
6. What to Include in Your Proposal
Short project plan (phases, timeline, team allocation).
Cost breakdown mapped to milestones.
Live demos / repos of past ASR, diarisation, or voice‑AI work—preferably with Indian‑language examples.
Core team bios and % availability.
Security & privacy approach (encryption, data retention, compliance).
Support terms (SLA, hourly rate for future upgrades).
7. Intellectual Property
All source code, trained models, and documentation become our exclusive copyright upon full payment. A separate Copyright Assignment & Work‑for‑Hire Agreement will be signed before kickoff.
8. Ready to Build the Future of Meetings?
If you live and breathe speech‑to‑text, multilingual NLP, or speaker diarisation—and love turning tough requirements into elegant products—we want to hear from you.
Submit your proposal by [insert deadline]. Short‑listed teams will be invited to a 30‑minute Zoom Q&A.
1. Why We’re Hiring
We need a lean, highly skilled freelance team to build a production‑ready app that can identify each speaker automatically, capture everything they say in real time, and file the notes directly under that speaker’s name—even when people switch between English and Indian regional languages mid‑sentence. Instant, shareable Minutes of Meeting (MoM) should land in everyone’s inbox (or WhatsApp) the moment a meeting ends.
Speaker ID + diarised notes are absolutely mission‑critical. If your solution can’t tag speakers accurately within ~3 seconds of them talking, this project isn’t a fit.
2. Core Use‑Cases
Scenario
Board & project reviews Decisions and action owners are clear—no “who said what” disputes.
Client calls / sales demos Professional MoM auto‑emailed to prospects, shortening sales cycles.
Vendor negotiations Tamper‑proof record of price & delivery terms.
Hybrid & multilingual meetings Seamless code‑switching across English + 12 key Indian languages.
3. Must‑Have Features
Real‑Time Speaker Identification
≤3 s latency from speech to diarised text
5‑10 s intro enrolment for new voices
Works on in‑person room mic and virtual calls (Zoom, Meet, Teams)
Multilingual, Code‑Switching ASR
English + Hindi, Marathi, Tamil, Telugu, Gujarati, Bengali, Kannada, Malayalam, Punjabi, Odia, Urdu, Assamese
Accurate in “Hinglish” and mixed sentences
Instant MoM Generator
Sections: Decisions, Action Items (owner + deadline), Next Steps
Export: Email (HTML), DOCX, PDF, Markdown
One‑tap share to WhatsApp, Slack, Teams
Integrations & Extensibility
Google/Outlook calendar titles & invites
Zapier/Webhook for CRM & JIRA tasks
API layer so we can embed it in other products later
Privacy & Compliance
End‑to‑end encryption (TLS 1.3, AES‑256 at rest)
Role‑based access; host can delete recordings
Optional offline/on‑prem Docker stack for banks/defence
4. Deliverables & Timeline (Lean Version)
Phase Key Output Target Duration
Discovery Final architecture, wireframes, language‑model plan 2 weeks
Alpha Web demo + mobile wrapper; EN & HI live transcript; basic diarisation 6 weeks
Beta Add 4 more languages; MoM email; calendar & Slack hooks 8 weeks
v1 Prod 12‑language pack; on‑prem option; UI polish; SOC‑2‑aligned security 6 weeks
Launch & Support Code, CI/CD, 30‑page doc, 14‑day bug‑fix SLA 2 weeks
Budget target: ₹ 12 – 14 lakh (detailed milestone split available).
*We will escrow every milestone.
5. Tech Stack (Preferred—open to better ideas)
UI: Flutter or React Native + React Web
Backend: Python (FastAPI) or Node.js (NestJS)
ASR: OpenAI Whisper / NVIDIA NeMo / custom wav2vec‑2 fine‑tunes
Speaker Diarisation: pyannote.audio / Resemblyzer
LLM Summaries: GPT‑4o, Claude 3 or Mixtral via prompt‑chain
DB: PostgreSQL, Redis, S3‑compatible storage
DevOps: Docker, Kubernetes, GitHub Actions
6. What to Include in Your Proposal
Short project plan (phases, timeline, team allocation).
Cost breakdown mapped to milestones.
Live demos / repos of past ASR, diarisation, or voice‑AI work—preferably with Indian‑language examples.
Core team bios and % availability.
Security & privacy approach (encryption, data retention, compliance).
Support terms (SLA, hourly rate for future upgrades).
7. Intellectual Property
All source code, trained models, and documentation become our exclusive copyright upon full payment. A separate Copyright Assignment & Work‑for‑Hire Agreement will be signed before kickoff.
8. Ready to Build the Future of Meetings?
If you live and breathe speech‑to‑text, multilingual NLP, or speaker diarisation—and love turning tough requirements into elegant products—we want to hear from you.
Submit your proposal by [insert deadline]. Short‑listed teams will be invited to a 30‑minute Zoom Q&A.