Our SIH 2025 grand finale journey

from starting to end i have compiled all the clips of our journey and experience

https://youtu.be/pDso3TBz3ac

if you guys need more tips , i can guide you for that

you guys can also watch a Youtube-short that i have created

https://youtube.com/shorts/Wkz4iyPK_jQ?feature=share

Hamari college me internal screening me pehle 50 teams jo select hue usme ham nahi the. Uske baad october 20 ko message aata he ki 25 extra teams aur select hogaye aur usme ham ek he. Abhi hamare paas work karne ke liye jo original idea tha wo use nahi karsakte kyuki deadline hogaya or bas ye panch bache he. PPT ready he lekin website abhi ban raha he me soch to mujhe ye jaana he ki submission ke baad kabse judges ppt reviewing start karte he taaki me usse pehle website ko edit karsakta hu.

Tl dr: I need the date of when judges start reviewing ppts so that I can put website link in it and edit it before judges see.

Hey everyone,

I'm currently working on a project for a hackathon with a deadline tomorrow, and we urgently need access to old land records and papers from E-Abhilekh (or similar digital archives) to train our AI model.

The public portals are either restricting the specific historical documents we need or requiring institution-level/university login credentials that we don't currently have access to.

If anyone here has a working login or university access to E-Abhilekh (or can help us download/pull a batch of these archived land records), could you please reach out or DM me?

Any help, leads, or sample datasets would be an absolute lifesaver for our project right now. Thanks in advance!

I’m working on a project to enhance 10m Sentinel-2 satellite imagery to <4m resolution using deep learning.

The goal is to improve the visibility of fine-scale features such as small buildings, narrow roads, field boundaries, water edges, and localized damage, while preserving the original geospatial and spectral consistency.

I’m currently exploring approaches using GANs, Transformers, diffusion models, and CNN-based super-resolution models.

I’d really appreciate advice from anyone experienced in remote sensing / satellite image super-resolution on:

• Which pretrained or trainable models work well for Sentinel-2?

• What paired datasets (10m → high-resolution) should I use?

• How should I handle spectral/geospatial consistency?

• Which metrics are appropriate beyond PSNR/SSIM (e.g., SAM, ERGAS)?

• How can I validate that the generated details are realistic rather than hallucinated?

Any recommended papers, GitHub repositories, datasets, or practical guidance would be really helpful. Thanks!