Project Atharv

Launched Atharv, an AI-powered agricultural assistant. Gained 5,000 users in 48 hours. Presented it to the Ministry of Agriculture for the state of Karnataka and was featured in 20+ news articles. Atharv improved crop disease diagnosis and weather prediction accuracy by 73%, providing personalized farming insights in local languages.

Project Atharv is the most ambitious thing I have built: an AI-powered agricultural assistant meant to put real, data-driven farming advice into the hands of the people who have always sat on the wrong side of the technology gap. From day one the goal was accessibility over cleverness. A farmer should be able to get a straight answer about their crop, in their own language, without needing English or a fast connection. The response was immediate. Within 48 hours of launch it had over 5,000 active users, and it went on to be presented to the Ministry of Agriculture for the state of Karnataka and featured in more than 20 news publications. ### The pivots that shaped it Atharv did not arrive fully formed. It started as a custom CNN, a convolutional neural network I trained to recognize crop diseases from photographs. It worked in a controlled setting, but it kept hitting the same walls: it demanded enormous, cleanly labeled datasets and stayed brittle against the messy reality of real fields, different crops, uneven light, and cheap phone cameras. So I made the hard call to drop the custom model and move to the Gemini API, which generalized far better across crops and languages and freed the project to focus on being genuinely useful instead of endlessly retraining. There was a second pivot too. I originally wanted Atharv to live inside WhatsApp, since that is the one app nearly every farmer already has and knows how to use, which made it feel like the most natural front door. In the end, practical constraints steered it toward a web app instead, and that is where it settled, still deliberately lightweight and optimized for low-bandwidth areas so it would work where connectivity is thin. ### What Atharv actually does Atharv works through three simple tools. The image-based chatbot lets a farmer snap a photo of a struggling plant and get back a real diagnosis, not just of crop diseases but of soil health issues too, along with corrective steps and preventive measures. Because it runs on Google's Gemini, it is not boxed into a fixed list of a few dozen problems, it can reason across a wide range of crops and conditions and explain what to do about each, from treatments to fertilizer and pesticide guidance. The text-based chatbot answers almost any farming question in plain language, whether it is about crop rotation, fertilization techniques, or pest management. And weather insights turn a farmer's pincode into local, real-time forecasts. A farmer simply enters their zip code and gets the weather for exactly that location, drawn from NASA's weather API so the readings are far more accurate than a generic regional forecast, and Atharv translates that rainfall and temperature into concrete advice on when to plant, irrigate, and harvest. The thing that lets all of this actually reach people is language. Atharv speaks in the farmer's own tongue, and thanks to Google Translate it is not limited to a handful of languages, it supports a broad range of Indian and regional languages, so the advice lands in whatever language a farmer is most comfortable with. Everything runs on a lightweight Python and Flask backend, with Pillow handling the uploaded crop images, deliberately built to stay usable on thin connections. ### Who really uses it, and how Here is the honest, and to me most interesting, part of the story. Atharv eventually got integrated into eSAP, the Karnataka state government's agriculture app, which was a genuine milestone. But adoption did not unfold the way I first pictured it. Atharv never became the app sitting in every farmer's pocket. Instead, its heaviest users turned out to be the people one link up the chain: the dealers who sell pesticides, fertilizers, and crop medicines. Farmers have always walked into those shops to ask what is wrong with their crop and what to buy, and now those sellers pull up Atharv to answer them. So the tool reaches farmers indirectly, through the agricultural supply chain, and within that community of input retailers it is used heavily and often daily. That was not the path I predicted, but it is a real one, and it taught me that adoption tends to follow the habits people already have rather than the ones we design for them. ### More than an app: the people I met Building Atharv meant getting off the screen and onto the ground. I reached out to countless farmers, sat with them in their fields, and worked to understand their problems before writing a single line of the solution. That effort opened doors I never expected: presenting to the District Magistrate of Bengaluru, the Commissioner for Agriculture, and the Minister of Agriculture for Karnataka, speaking at press conferences, and watching the project get covered across Kannada, Urdu, and regional media. Improving crop disease diagnosis and weather prediction accuracy by 73% was the technical headline, but the part that stayed with me was the people this one project let me meet, the farmers, officials, journalists, and experts along the way. Atharv is, for me, proof that AI only means something when it actually reaches the human beings it was built for.

At a glance

Timeline: May 2024 - Aug 2024
Type: Community Project
Recognition: Featured in 20+ news articles, presented to Ministry of Agriculture

Technologies

Python
Flask
Google Gemini 1.5 Flash
Google Translate
NASA Weather API
Pillow (PIL)
Natural Language Processing (Multilingual Chatbot)
Computer Vision
Deep Learning (CNN)

Photos

Presenting Project Atharv to the District Magistrate of Bengaluru
With Dr. Thuppil Venkatesh, India's leading lead poisoning expert
Handing the Atharv overview to Y.S. Patil, IAS, Commissioner for Agriculture
At the Department of Agriculture, Government of Karnataka
Presenting Project Atharv to the Minister of Agriculture, Karnataka
Project Atharv featured in the Urdu daily Roznama Rashtriya Sahara
Speaking to the press about Project Atharv
At the Project Atharv press conference in Bengaluru
Project Atharv covered in the regional Kannada press
Project Atharv featured across the Karnataka news media
Talking with a farmer about crop disease in her field
Project Atharv featured with a banner headline in a Kannada daily
Project Atharv covered in the Kannada press
Understanding a farmer's needs on the ground