Computer Science undergraduate at IIIT Naya Raipur with experience in AI/ML, Full-Stack Development, and Open Source. Pa

Pruthvi Raj Panduga  • Peerlist

Built AgriConnect, a role-based agricultural marketplace that connects farmers, buyers, agri-experts, and administrators through a secure Java Spring MVC platform. The system supports produce listing, buyer bidding, MSP compliance checks, farmer-buyer matchmaking, FPO pooling, advisory alerts, order tracking, wallet entries, notifications, and admin audit workflows. Engineered a layered backend using Spring MVC, Hibernate ORM, MySQL, Spring Security, JWT authentication, and Maven, with separate controllers, services, DAOs, DTOs, validation, and JPA entity models. Implemented role-based workflows for farmers, buyers, admins, and agri-experts, along with scheduled services for farmer scoring, listing expiry, and matchmaking refreshes. The application is packaged as a WAR and containerized using Docker Compose with MySQL and Tomcat.

AgriConnect – Agricultural Marketplace & MSP 

Built Scientia.ai, a production-ready AI research assistant that helps users explore academic papers through intelligent Q&A, structured summaries, citation discovery, and multi-paper comparison. The platform supports PDF uploads, semantic search, LaTeX equation rendering, research insight extraction, and NotebookLM-style audio podcast summaries. Developed a premium React + TailwindCSS dark glassmorphic dashboard with a split-pane research workspace, paper library, interactive citation drawer, LaTeX equation playground, PyTorch scaffold generator, GitHub repository matcher, and comparative synthesis tables. Built the backend using Flask, SQLite, FAISS, SentenceTransformers, PyMuPDF, and Google Gemini Flash to handle PDF parsing, vector-based RAG, AI summaries, OpenAlex citation lookups, and audio generation. Tech Stack: React, TailwindCSS, Flask, SQLite, FAISS, SentenceTransformers, PyMuPDF, Google Gemini, OpenAlex API, GitHub API, Docker

AI Research Assistant & Research Synthesis En

Built CareerCompass, a Spring Boot-based college prediction platform that helps engineering and medical aspirants shortlist colleges using rank, category, quota, branch preference, state preference, fee filters, and historical cutoff data. The system classifies recommendations into Safe, Moderate, and Dream choices to support better counselling and choice-filling decisions. Developed a full-stack MVC application using Java 17, Spring Boot, Spring Security, Spring Data JPA, Hibernate, MySQL, Thymeleaf, Bootstrap, and Chart.js. Implemented student workflows for prediction, wishlist, college comparison, cutoff trends, profile management, and choice filling, along with admin workflows for managing colleges, branches, exams, users, cutoff CSV uploads, and analytics. Containerized the application using Docker Compose and added CI validation with GitHub Actions.

CareerCompass – College Prediction & Counsell

Built Finova, an AI-powered personal finance management platform with a secure Spring Boot backend, MySQL database, and a high-fidelity React + TypeScript dashboard. The platform helps users track transactions, budgets, goals, bills, recurring expenses, accounts, analytics, and notifications in one unified finance workspace. Integrated Google Gemini for AI spending insights, natural-language finance chat, smart transaction categorization, predictive spending forecasts, receipt OCR scanning, and anomaly detection. Implemented enterprise-grade features such as JWT authentication, Spring Security authorization, Bucket4j rate limiting, scheduled bill processing, recurring transaction automation, and Docker-based setup.

Finova – AI-Powered Personal Finance Manageme

Built Fluent Flow AI, a production-ready AI translation and cognitive language tutoring platform that evolved from a rapid Flask-based monolithic MVP into a modern decoupled SaaS architecture using React.js, FastAPI, MongoDB, and Docker. Integrated Google Gemini API to deliver context-aware translations across multiple tones, including professional, formal, casual, academic, creative, and idiomatic styles. The platform also generates detailed linguistic explanations such as grammar breakdowns, vocabulary tables, pronunciation support, and cultural context insights. Refactored the original Flask + Vanilla JavaScript prototype into a scalable React.js SPA + FastAPI backend, implementing JWT authentication, protected routes, translation history, OCR-based image translation with PyTesseract, speech-to-text support, text-to-speech generation, and resilient fallback handling using deep-translator and gTTS. Containerized the application using Docker and Docker Compose, enabling isolated deployment for the frontend, backend, and database services. This project demonstrates full-stack development, LLM integration, multimodal AI features, system refactoring, and production-oriented architecture design. Tech Stack: Python, Flask, FastAPI, React.js, Tailwind CSS, MongoDB, JWT Authentication, Google Gemini API, PyTesseract, OpenAI Whisper, Web Speech API, gTTS, Docker, Docker Compose, REST APIs