Designed and developed a web-based accounting and ERP system inspired by Tally Prime, digitizing core business finance workflows for small businesses and distributors

Implemented company, ledger, and voucher management supporting sales, purchase, payment, receipt, and journal entries

Built inventory management with product masters, stock movement tracking, and automatic balance updates

Designed a normalized relational database schema ensuring data integrity, auditability, and scalability

Implemented GST-ready transaction structure for taxable and non-taxable accounting entries

Developed role-based access control for admin, accountant, and staff users with secure authentication

Ensured real-time ledger balance updates after every financial transaction

Created a user-friendly frontend optimized for speed and ease of use by non-technical users

Translated real-world accounting and ERP workflows into production-oriented software logic

Developed an AI-based livestock breed classification system using computer vision to identify cattle and buffalo breeds from images

Addressed real-world agricultural challenges including breed misidentification, pricing inefficiencies, and unreliable livestock data

Designed the system to replace subjective manual assessment with objective, data-driven identification

Applied machine learning techniques for image processing with a focus on accuracy, scalability, and field usability

Conceptualized the platform as a decision-support tool for farmers, dairy cooperatives, insurers, and government livestock programs

Planned future integrations for pricing intelligence, insurance validation, and breeding recommendation systems.