Greetings Everybody,
I’m thrilled to share my expertise engaged on my first mission project throughout my Digital Internship at Feynn Labs AI Incubator and Feynn Labs. As a B.Tech Bioinformatics scholar at Amity College, Noida, I’ve leveraged my abilities in Python, machine studying, and bioinformatics to develop an revolutionary answer titled “AgriPulse: Sensible Crop Well being & Market Forecast App”. This mission, a part of the AI Product/Service Ideation job, focuses on making use of machine studying and information science to empower small and medium companies — on this case, farmers — to reinforce their operations, gross sales, and sustainability.
The inspiration for AgriPulse stemmed from my ardour for making use of AI to unravel real-world challenges, notably in agriculture, an important sector in India the place small and medium-scale farmers produce 70% of the nation’s meals (FAO, 2025). Throughout my internship, I noticed that these farmers face important hurdles: crop ailments cut back yields by 20–30%, inaccurate yield predictions disrupt planning, and risky market costs result in 15–25% revenue losses. Present options, like handbook inspections or enterprise-focused platforms, are sometimes too costly ($50-$200/acre) or neglect essential components like microbial ailments.
Drawing on my bioinformatics background, I envisioned a platform that integrates superior machine studying with soil microbiome evaluation to deal with these gaps. My expertise with convolutional neural networks (CNNs) for picture evaluation, impressed by my pneumonia detection mission, led me to include leaf picture diagnostics for ailments like blight and rust. Moreover, my information of 16S rRNA sequencing motivated the inclusion of soil microbiome evaluation utilizing Transformer fashions, a novel method for small farmers. By combining these with yield prediction (XGBoost) and market value forecasting (Prophet), AgriPulse emerged as a complete, reasonably priced ($5-$10/take a look at) answer tailor-made for smallholder farmers.
The ideation course of concerned researching the agriculture sector, benchmarking opponents like CropIn and Hint Genomics, and figuring out gaps in affordability and microbial diagnostics. I collaborated with mentors at Feynn Labs to refine the idea, guaranteeing it aligns with the wants of small farmers and leverages open-source datasets (Plant Village, SILVA) and APIs (OpenWeather Map, Agri-Market India) for feasibility.
AgriPulse is a cellular and internet platform designed to remodel smallholder farming by offering AI-driven insights into crop well being, yield, and market developments. Its key options embody:
- Crop Illness Diagnostics: Farmers add leaf photographs or soil swabs, analyzed by CNNs and Transformer fashions to detect ailments (90% accuracy) and microbial imbalances, lowering crop losses by 15%.
- Yield Prediction: Regression fashions forecast yields primarily based on climate, soil, and historic information (85% accuracy), enabling higher planning and useful resource allocation.
- Market Value Forecasting: Time-series fashions predict crop costs (80% accuracy), serving to farmers promote at optimum occasions to maximise income.
- Consumer-Pleasant Design: Multilingual (Hindi, Tamil, English), offline-capable app with a “crop well being rating” dashboard, guaranteeing accessibility for rural farmers.
- Affordability: Soil swab kits and diagnostics price $5-$10, in comparison with $100+ for opponents, making superior know-how accessible.
For small and medium farmers, AgriPulse enhances enterprise operations by lowering enter prices (20% much less chemical use) and boosting yields by 20%. Agricultural cooperatives profit from shared analytics, enhancing collective decision-making. The freemium mannequin, with a $5/month premium tier for superior analytics, ensures affordability, whereas partnerships with fertilizer corporations and package gross sales generate income. By selling sustainable practices, AgriPulse contributes to society by lowering environmental affect and supporting meals safety for India’s 70 million small farmers.
This mission showcases how AI and bioinformatics can empower small companies, aligning with Feynn Labs’ mission to drive innovation. I’m excited to proceed refining AgriPulse to make an enduring affect on agriculture.
For an in depth exploration of AgriPulse’s design, technical structure, and enterprise mannequin, try my full report: https://drive.google.com/file/d/18PnNygVcArqr1t7XSUwOWw0RLCJjK9mV/view?usp=sharing
Thanks for studying, and I’d love to listen to your ideas on AgriPulse within the feedback!
