Farmica

Farmica

Empowering Farmers, Connecting Communities: Cultivating Prosperity through Direct Trade and ML-Driven Price Prediction.

Created on 11th February 2024

Farmica

Farmica

Empowering Farmers, Connecting Communities: Cultivating Prosperity through Direct Trade and ML-Driven Price Prediction.

The problem Farmica solves

Our platform addresses critical challenges in agriculture, offering solutions that enhance efficiency, profitability, and transparency. Here's how our platform makes a difference:

  1. Direct Farmer-Customer Transactions:

    • Problem: Traditional supply chains involve multiple intermediaries, leading to reduced profits for farmers.
    • Solution: Our platform enables direct transactions between farmers and customers, eliminating middlemen and ensuring fair compensation for farmers.
  2. Optimized Crop Price Predictions:

    • Problem: Uncertain market conditions make it challenging for farmers to predict and set fair prices for their crops.
    • Solution: Leveraging machine learning, our platform provides accurate and timely crop price predictions, empowering farmers to make informed decisions for optimal pricing strategies.
  3. Transparent and Secure Transactions:

    • Problem: Concerns about the transparency and security of transactions in the agricultural sector.
    • Solution: We ensure transparent and secure transactions, instilling trust among farmers and customers alike.
  4. Market Accessibility for Farmers:

    • Problem: Limited access to broader markets for small-scale and local farmers.
    • Solution: Our platform connects farmers directly with customers, expanding market reach and providing opportunities for local farmers to showcase their produce.

Challenges we ran into

The challenges faced fall under different technical areas. To begin with, it was rather difficult to initiate a connection between pgAdmin 4 and the PostgreSQL server; then, different probable causes, including server configurations, network concerns, or firewall restrictions, were investigated. Troubleshooting included precise verification of server settings, authentication credentials and network connectivity. Also, the same as above, the errors that we encountered with the Vonage API necessitated a very detailed examination of API construction, encompassing such aspects as whether the syntax is accurate, whether the parameters are formatted correctly and properly, whether all the required parameters are included or not. Resolution needed close examination of Vonage API docs, debug of requests construction, and fine handling of response data. Furthermore, integrating i18next, a well-known internationalization framework, within a Next.js application to support multiple languages was complex as there were configuring settings, managing translation files and incorporating them as a part of the application structure issues. Finally, the integration of the crop price predictor folder with Next.js introduced its own set of complications which had to be harmonized with Next.js environment.We had to contact our fellow peers and mentors to solve the problems.

Tracks Applied (3)

Creative Message on Linkedin, YouTube, and X (Twitter)

Our project, with its focus on empowering farmers and fostering community connections, aligns perfectly with the creativ...Read More

Neurelo at Hack This Fall

Best All Girls Team

Our all-girls team excelled in developing a solution that uniquely tackles problems in agriculture, offering solutions t...Read More

Hack This Fall Best Beginner Team

Our project, titled "Empowering Farmers, Connecting Communities: Cultivating Prosperity through Direct Trade and ML-Driv...Read More

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