A software application with an AI model that uses fixed-payload camera feeds to track astronaut movements offline, suggest experiment steps, and generate text logs.
Indian Space Research Organisation(ISRO) · Department of Space / Indian Space Research Organisation · Software
Signing in saves it for your whole team — everyone on your invite link sees the same two entries. Anything you shortlisted while signed out comes with you.
Decomposed from what the description asks for. Nothing added.
Local Video Processor
Continuously processes local video feeds from fixed-payload cameras to track the experiment.
Step Sequence Tracker
Suggests the next step, tracks the experiment sequence, and provides voice alerts for skipped or out-of-order steps.
Log Generator
Generates a timestamped and structured lightweight text file of conducted steps and outcomes.
Video Stream and Storage
Streams the video to a specific IP address while also storing the video locally.
Monitoring GUI
Provides a graphical user interface for monitoring all the activities and outputs.
Both columns are read off the brief's own wording. Nothing here is inferred from the ministry's name.
The jury will check if your AI model runs on an offline standalone system, successfully tracks pre-defined experiment sequences using human activity recognition, provides voice alerts for errors, and outputs a structured text log and local video storage.
A jury can still ask about these. Decide them deliberately rather than by accident.
Generated from the brief's own wording and the competition's published rules — never from a guess about what this ministry prefers.
The specific experiments and steps that the AI model needs to be trained on?
The brief never answers this, so a panel will. Whatever you decide, say it the same way twice.
The target hardware specifications for the offline standalone system?
The brief never answers this, so a panel will. Whatever you decide, say it the same way twice.
The exact format requirements for the lightweight text file?
The brief never answers this, so a panel will. Whatever you decide, say it the same way twice.
Has any part of this been shown at a previous event, hackathon or college project?
The guidelines are explicit: your solution must not have appeared in any previous event or programme, of any sort. A recycled project is what a team under time pressure reaches for.
What the organisers attached, and what the brief assumes you can get.
Same organisation, same year. Reading two of theirs tells you more about what they care about than reading one.
Pick what you are about to do and copy the prompt. It carries the organisers' own wording, the constraints they never spell out, and an instruction not to invent requirements they never set.
Who has this problem, what already exists, and what you would have to find out.
The brief asks for local video processor. How would you build that?
Decoded from SIH26174 itself — Continuously processes local video feeds from fixed-payload cameras to track the experiment. The brief asks for it by name.
The brief asks for step sequence tracker. How would you build that?
Decoded from SIH26174 itself — Suggests the next step, tracks the experiment sequence, and provides voice alerts for skipped or out-of-order steps. The brief asks for it by name.
The brief asks for log generator. How would you build that?
Decoded from SIH26174 itself — Generates a timestamped and structured lightweight text file of conducted steps and outcomes. The brief asks for it by name.
The brief asks for video stream and storage. How would you build that?
Decoded from SIH26174 itself — Streams the video to a specific IP address while also storing the video locally. The brief asks for it by name.
The brief asks for monitoring gui. How would you build that?
Decoded from SIH26174 itself — Provides a graphical user interface for monitoring all the activities and outputs. The brief asks for it by name.
Why not use what already exists? Name the closest thing to this that is already running.
A team that has not named the alternative themselves is answering this for the first time in the room.
Which single thing will you demonstrate end to end, start to finish, with nothing skipped?
Ours, not a rule: a narrow thing that fully works survives questioning better than a broad thing that half works. If nobody on the team can name it, that is the finding.
Show me this working: the jury will check if your AI model runs on an offline standalone system, successfully tracks pre-defined experiment sequences using human activity recognition, provides voice alerts for errors, and outputs a structured text log and local video storage.
This is the evaluator read for your problem statement, decoded from the brief's own wording.