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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM47688

AI-Driven Crop Management System with Integrated Farmer Support: Price Insights, Article Recommendations, and Disease Detection via Image Recognition

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM47688

Volume:

9 |

5 |

May 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM47688

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

SKS

Shivendra Kumar Srivastava1

SP2

Shreyash Pandey 2

PP

Prince Pandey3

SKR

Shailendra Kumar Rawat4

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Abstract

Food waste and hunger stand as two sides of a disturbing paradox in our modern world—millions of people sleep hungry, while tons of edible food are thrown away each day. “After Stars” is a purposeful digital initiative that bridges this heartbreaking gap by connecting those who have surplus food—like restaurants and event organizers—with those who desperately need it, including NGOs and orphanages. The platform offers dedicated dashboards for donors and recipients, making it simple to register, list food items with expiry information, and request or accept donations in real time. The system ensures transparency and safety by verifying recipients and automatically removing expired listings to maintain hygiene standards. Rejected requests do not go to waste; instead, the food remains visible for others who may need it. With location-based alerts, intuitive workflows, and an emphasis on accountability, After Stars not only redistributes food but also restores hope. This paper explores the system’s technical design, practical functionality, and its potential to spark lasting social change by turning leftover meals into life-saving resources. Beyond merely acting as a food exchange, After Stars fosters a digital ecosystem built on trust, urgency, and empathy. By integrating geolocation services, the platform ensures that food travels shorter distances, preserving its freshness and reducing transportation costs. This real-time matching empowers NGOs to act swiftly, especially in time-sensitive situations where food quality degrades quickly. A significant strength of the system lies in its automated donation lifecycle management—expired listings are removed without manual oversight, and donors are prompted with gentle reminders about unclaimed food nearing expiry. These safeguards uphold hygiene standards while also streamlining operations. To ensure credibility, the platform implements a verification process for all receivers. Only recognized NGOs and institutions with valid documentation gain access to the donation listings, minimizing the chances of misuse and promoting a secure environment. Donors can therefore contribute with confidence, knowing their food is reaching the right hands. In the broader social context, After Stars serves as a catalyst for change, sparking awareness about food responsibility within local communities. Whether it’s a small family gathering or a grand wedding event, the app encourages mindful practices, turning excess into impact. This paper delves into the architectural blueprint, technological components, and impact metrics of After Stars, proposing it as a scalable and replicable model that communities, cities, and governments can adopt to build more equitable food systems. By transforming leftovers into lifelines, After Stars offers not just a solution, but a vision for a more connected, compassionate future.

KEYWORDS

food donation platform food waste management real-time food redistribution NGO donation system social impact app donor-recipient matching hunger eradication technology

Cite This Article

Shivendra Kumar Srivastava1, Shreyash Pandey 2, Prince Pandey3, Shailendra Kumar Rawat4, "AI-Driven Crop Management System with Integrated Farmer Support: Price Insights, Article Recommendations, and Disease Detection via Image Recognition," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 5, May 2025. https://doi.org/10.55041/IJSREM47688

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Publication Date

12/4/2025

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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