▲ 9 r/IndiaDeepTech+1 crossposts

Software engineer exploring Indian defence-tech is there a real gap for GEOINT / OSINT / AI intelligence software?

Hey everyone,

I’m a software engineer with a background in AI/ML, computer vision, backend/distributed systems and cybersecurity. I’ve recently been seriously exploring whether I could spend the next few years building something useful in Indian defence-tech.

One area I’m particularly interested in is the software/intelligence layer — GEOINT, OSINT, satellite imagery analysis, sensor-data fusion, AI-assisted intelligence analysis, and tools that help operators make sense of large amounts of fragmented information.

Companies such as Vannevar Labs, Palantir, Anduril, etc. have shown what sophisticated software can do for defence organisations abroad, but I don't want to blindly copy a US company and assume the same problem exists in India.

The rough idea I'm investigating is software that could combine things like:

  • satellite/geospatial imagery
  • maps and historical observations
  • OSINT and reports
  • sensor feeds where available
  • computer-vision/change detection
  • AI-assisted search and analysis

…and help a human analyst answer questions like “What changed?”, “What looks unusual?”, “What information is relevant to this area/event?”, and “What evidence supports this assessment?”

Importantly, I'm not talking about autonomous targeting or weapon systems. I'm interested in intelligence, surveillance, situational awareness and decision-support software with humans making the decisions.

My biggest concern is that I'm an outsider to the defence ecosystem. I don't want to spend a year building an impressive-looking dashboard for a problem that actual users don't care about.

So I’d really appreciate perspectives from people here who have experience with the armed forces, defence industry, DRDO, defence startups, ISR/GEOINT, procurement, or even people who have followed this ecosystem closely:

Is there actually an underserved problem here in India?

Where does the real pain lie data fusion, satellite analysis, interoperability, analyst workload, edge AI, intelligence search, something completely different?

And if you were a software engineer trying to understand this space properly, who would you talk to and what would you try to validate before writing serious code?

I'm at the learning/problem-validation stage, not promoting a company or product. Critical feedback is very welcome including reasons why this might be a terrible idea.

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u/himanshu_urck — 5 days ago

Built a fully offline AI voice dictation app for Windows speech never leaves your PC

Hey everyone,

I’ve been building LocalFlow, an open-source voice dictation app that runs completely locally on Windows.

The idea was simple: I wanted AI voice typing without sending everything I say to a cloud API.

You just hold Ctrl+B, speak, release and the transcription gets pasted wherever you’re typing.

Under the hood, speech recognition runs locally using whisper.cpp, with optional Qwen Quantized model for local AI cleanup as well.

No account.
No telemetry.
No cloud speech APIs.
No internet required for dictation.

I’ve attached a quick demo above.

Would love feedback from people working with local AI / speech models — especially on what you’d want to see next: multilingual support, better models, custom vocabulary, etc.

Product:
https://himanshumohanty-git24.github.io/LocalFlow/

GitHub:
https://github.com/HimanshuMohanty-Git24/LocalFlow

u/himanshu_urck — 6 days ago