Compare both approaches in terms of economic viability and environment benefits.
Here I am inclined towards biogas because it's easy to install, low cost. It don't need big companies money to setup. And can be installed near farmer's field.
Guys,
Don't you think Rizia is too hard for no reason ?
I think developers intentionally did it because they want to say "Kingdoms aren't meant to survive in modern world."
Well this can a good usecase of AI. AI based survillance system will warn autorities, I know lot of inaccuracy will be there but humans are there to check.
I support GOVT here.
Every year I file my Papa's ITR. This time I discovered 47Lac entry in income and tax deducted of around 93K. I have checked in other places like bank statement, nothing is there. How to correct this error ?
Ladies and Gentlemen,
I am thinking about creating a group where you can borrow/give books. Because sometime We want to read new books, and it is better if we give our old books to someone else so that they can have something new and fun.
Like I just finished biography of elon musk.
So Who is up for it ?
Hi,
Do u prefer food that comes from traditional rural knowledge ?
your favourite ?
Price or quality, when it comes to food ?
Seriously guys, atleast photo to koi indian rocket ki lga lete, Falcon Heavy ki lga rakhi h.
Aise banoge Vishwaguru
Hey guys, what do you usually do with your old and outdated device, smartphone included ?
Guys, What do you do with your old and outdated GPUs ?
I built a full end-to-end Computer Vision application using Deep Learning for 🌸flower classification, deployed live on Hugging Face Spaces:
👉 https://hemu312-flower-classification.hf.space
**What it does:**
Upload any flower photo → the model identifies the species in seconds. It covers 35 species including Palash, Gulmohar, Amaltas, Lotus, Rose, Marigold, and many more — with a strong focus on flowers popular in India 🇮🇳
**What I built:**
🔹 A fine-tuned deep learning model for flower recognition
🔹 FastAPI backend with a clean REST API
🔹 A web interface for prediction
🔹 A feedback loop — if the model gets it wrong, users can flag it, and that data feeds back into improving the model
🔹 Containerised with Podman and deployed on Hugging Face Spaces
The feedback mechanism is something I'm especially focused on — it turns every wrong prediction into a training opportunity. I want to see how model accuracy improves using feedback if It initially trained using not so good data.
This is just starting. Planning to expand the species list and improve accuracy with the collected feedback data.
Would love your thoughts — and if you spot a flower it misclassifies, even better! 😄
Here is the GitHub repo, pull requests and issues are most welcome:
👉https://github.com/hemu312/flower\_classification
#DeepLearning #ComputerVision #MachineLearning #Python #FastAPI #HuggingFace #OpenSource #FirstProject
