Completion of AI-Powered Research Assistant

@sajjadtaghvaeifr

Hello, I trust you're doing well. I am well experienced in machine learning algorithms, with nearly a decade of hands-on practice. My expertise lies in developing various artificial intelligence algorithms, including the one you require, using Matlab, Python, and similar tools. I hold a doctorate from Tohoku University and have a number of publications in the same subject. My portfolio, which showcases my past work, is available for your review. Your project piqued my interest, and I would be delighted to be part of it. Let's connect to discuss in detail. Warm regards. please check my portfolio link: https://www.freelancer.com/u/sajjadtaghvaeifr

@zyeloncomputech

Hi sir, Thank you for giving opportunity for biding... we have gone through your requirements and we can build your Completion of AI-Powered Research according to your exact requirements. Why You Need To Go With Us? And What Special you get with us. • Your vision = Our mission • Your idea + Our expertise = Winner on Web • Cutting edge web technology & design • Innovative, Cost effective & Customized service • Pragmatic Approach • Constant communication with clients • Consistent performance • On-time delivery • Maintenance of global quality standards • Your online business + Our experience = Your success Python, iOT, Data Analytics, Data Science, AI/ML, AI Automation, AI AGENT Portfolio IoT Data Analysis for Dairy Refrigerator Temperature Monitoring Real-time Object Detection using OpenCV and YOLO Supply Chain Management System Enterprise Data Warehouse Implementation Cloud Data Lake Migration Web Application Development for Wind Turbine Performance Prediction Data Analytics Platform for Supply Chain Optimization AI Bill System AI Try Dress

@akgarg007

Hi there, Your project for completing the AI-Powered Research Assistant sounds like a perfect fit for my skillset. With over 11 years of experience and a strong background in Python and React, I'm confident I can take your existing codebase and deliver the multi-agent functionality you're looking for. My plan is to first thoroughly review your current architecture and code. Then, I'll focus on implementing the RAG pipeline with ChromaDB and integrating the AI agents step-by-step, ensuring each component is robust before moving to the next. I'll prioritize building out the remaining pages and then rigorously test and optimize the entire application. I estimate a timeline of 7 days to complete the core requirements and can deliver the full source code and comprehensive documentation upon completion. My bid is $1600, well within your stated budget. I'm eager to discuss this further and review your source code. Let's connect to get started. Best regards, Ashwani

@sanarena

Hi, I can take over your QueryMesh project and complete it to a fully functional state within 20 days. I’ll work directly with your existing React + FastAPI stack and the Gemini integration you already have in place, so we don’t waste time rebuilding anything from scratch. My focus will be on making the PDF Q&A reliable and adding the report-generation flow you need. I’ll start by verifying the current PDF extraction pipeline with PyMuPDF and ensuring the Gemini API calls return accurate, source-grounded answers from the uploaded papers. Then I’ll implement the report export feature—generating clean PDF and DOCX outputs from the a translator responses—and optionally wire up a basic PowerPoint generation module if that remains a priority. Could you confirm whether the Gemini API key and model configuration are already set up and working in the backend, or if that still needs troubleshooting? My fee for this completion work is INR 2000.

@ashinnd84

Hello there, we are a team of senior AI ML automation Full Stack Web and Mobile App Developers. Please, send me a message to discuss the work and finish in no time. Thanks Ashish Kumar.

@iimtpradeepdash

You don't need a rewrite—just completion on top of what you have. My team finished a similar AI research app this semester: React, FastAPI, ChromaDB, multi-agent with report export and PDF citations. We set up agent execution (Planner, Summarizer, Citation) and a real RAG pipeline, not the vanilla “full text into AI” approach. Next steps: wire in FAISS/ChromaDB for embeddings and chunk search, then split the agent flows (planner/summary/report/citation). I’ll refactor Gemini prompts for proper source citing and PDF/DOCX/optional PPT export using Python libraries. Dashboard, history, and admin panels fit your current React/SQL models. No code rewrite, just layered in clean. Do you already have embedding vectors stored, or do I need to handle initial ingest and index migration? If it matches your university rubrics, I can start this week and hand over all code and docs. Pradeep

@DigitalNightOwl8

Hello there , Good afternoon! I’ve carefully checked your requirements and really interested in this job. I’m full stack node.js developer working at large-scale apps as a lead developer with U.S. and European teams. I’m offering best quality and highest performance at lowest price. I can complete your project on time and your will experience great satisfaction with me. I’m well versed in React/Redux, Angular JS, Node JS, Ruby on Rails, html/css as well as javascript and jquery. I have rich experienced in HTML, Vector Databases, Natural Language Processing, FastAPI, JavaScript, Python, Artificial Intelligence, React.js, MySQL and Machine Learning (ML). For more information about me, please refer to my portfolios. I’m ready to discuss your project and start immediately. Looking forward to hearing you back and discussing all details.. Thank you

@rishi9343

With my extensive background in both mobile app and backend service development, I am the ideal candidate to complete your AI-Powered Research Assistant project. During my 8+ years of experience, I have honed my skills in technologies like React, FastAPI, and MySQL- all of which you have used in your current stack. With the capacity to implement a RAG pipeline using embeddings and a vector database, as well as adding real AI agents such as the Planner Agent, Research Agent, etc., I will ensure that your application transforms into a true Multi-Agent AI Research Assistant. The journey so far has demanded not only technical prowess but also coordination and problem-solving abilities to address the remaining tasks efficiently. Over time, I have cultivated these traits, rendering me your perfect choice. Apart from delivering clean codes and an optimized application, I promise to provide complete documentation- essential for MCA major projects like yours. Working with me guarantees adherence to timelines and quote specifications. Let's discuss further so that I can factor in your time and cost expectations while adding tangible value to your already impressive project!

@agwidfrnd19

With my extensive 8 years of experience, I am positive that I could be a great asset to your project. My expertise lies in MySQL, JavaScript, and React.js - the very skills required for your MCA final year project. I've worked on several complex projects dealing with data analysis, AI interfaces, and vast document management systems which aligns perfectly with your requirements. I fully understand your primary concern of preserving the already existing codebase and architecture, so you can rest assured that I will honor this commitment. My approach is rooted in firstly understanding your current implementation and then meticulously building upon it to ensure consistent coding standards, robust functionality and enhanced user experience. Furthermore, my versatile experience enables me to tackle various aspects involved in completing this project such as implementing real AI agents, generating reports and PPTs, supporting multiple PDFs etc. What sets me apart is not just my technical acumen but also my commitment to delivering clean codes, optimized solutions and complete documentation. If chosen, I promise a seamless and timly completion of this ground-breaking AI-directed research assistant.

@kuldeepsharma30

Hello, I can take over your existing **QueryMesh** project and complete it without rewriting the current architecture. I'll preserve your **React + Vite, FastAPI, MySQL, and Gemini API** stack while implementing the remaining features in a clean, maintainable way. The main focus will be building a proper **RAG pipeline** using **ChromaDB/FAISS**, implementing real **multi-agent workflows** (Planner, Research, Summarizer, Citation, Report Generator, and optional PPT Generator), enabling cross-document querying, adding citations with page references, generating downloadable PDF/DOCX reports, completing the Dashboard, Reports, History, Settings, and Admin Panel, and optimizing performance and stability. I'll also fix existing bugs, improve code quality, document the project thoroughly, and provide the complete source code with setup instructions so you can easily present and maintain it. I can start immediately after reviewing the existing codebase. Once I examine the project, I'll provide a realistic timeline, fixed-price quote, and milestone plan. Looking forward to reviewing your source code and helping you complete your MCA major project successfully. **Best regards,** **Naveen**

@Saifkhan642

Hello, I Have 8+ Years Of Experience In Mobile And App Development And Have Worked On Such Projects. I Can Do Your Work On The Best Budget. Can We Discuss This Further In Chat? Thank You.

@HASEEB1803

Hello, I can definitely take over your existing QueryMesh project and complete it without rewriting the current architecture. I'll preserve your React + Vite, FastAPI, MySQL stack and build the remaining features on top of your existing codebase. I have extensive experience building RAG and multi-agent AI systems using LangChain, LangGraph, FastAPI, ChromaDB/FAISS, OpenAI/Gemini, and vector search. One of my recent projects, IntelliHire, is a multi-agent AI platform where specialized agents analyze CVs, conduct interviews, evaluate candidates, and generate personalized feedback and reports. I've also developed production AI systems involving document understanding, embeddings, and LLM orchestration. For QueryMesh, I'll implement: Proper RAG pipeline with embeddings and ChromaDB/FAISS Multi-agent workflow (Planner, Research, Summarizer, Citation, Report Generator, and optional PPT Generator) Cross-document semantic search across multiple PDFs Research report generation (PDF/DOCX) Citation and page-level references Remaining Dashboard, Reports, History, Settings, and Admin Panel Bug fixes, optimization, and complete documentation Once you share the source code, I can review it and provide an accurate timeline and fixed-cost estimate. You'll receive the complete source code, documentation, and deployment instructions after completion.

@iterativeTech

As an AI and Cloud Data Engineering Specialist with a strong focus on implementing Machine Learning pipelines, I am confident in my ability to successfully complete your existing TCaptal project. I have extensive experience working with AI applications like QueryMesh. My expertise lies in ensuring smooth operations, cost-efficient enhancements, and intelligent decision-making. With your existing React and FastAPI stack, we can seamlessly integrate the critical Multi-Agent workflow using robust RAG pipelines and a consistent test system. I've practically worked on various agent systems including Research Agent, Planner, Citation Agent, Report Generator Agent, and PPT Generator Agent. This aligns perfectly with your project's roadmap! Additionally, having an intensely productive background across finance, healthcare & insurance; I understand the significance of clean UI and complete documentation for Storage & Management processes, which will be vital for your MCA major project. If awarded this project, you can expect not just completion but a deliverable that addresses all the agreed-upon features. Moreover, I don't just focus on the development itself but also promise to provide full documentation of the entire codebase after final delivery. Kindly consider my profile for this significant project; together we'll ensure that your AI-Powered Research Assistant exceeds expectations while maintaining its integrity.

@MuhammadAkif8

Hi, You need a developer who can take over your existing React + FastAPI codebase and complete the remaining features without rebuilding the project from scratch. I can continue development on your current architecture, implement a proper RAG pipeline with vector search, build the multi agent workflow, complete the remaining modules, and optimize the application while keeping the existing code clean and maintainable. What I will do: • Continue development on your existing React, FastAPI, and MySQL project • Implement a RAG pipeline using ChromaDB or FAISS with embeddings • Build Planner, Research, Summarizer, Citation, and Report Generator agents • Support querying across multiple uploaded research papers • Generate downloadable PDF and DOCX research reports and optional PPT generation • Complete the Dashboard, Reports, History, Settings, and Admin Panel • Add citations, fix bugs, optimize performance, and document the complete project What I will need from you: • Complete source code and project files • Database schema and sample data if available • Gemini API configuration details • Existing project documentation • List of any known issues or pending tasks I'll first review your existing codebase and identify the remaining work, then implement each module while preserving the current architecture, thoroughly test the application, and deliver the complete source code with documentation. Best regards, Akif S

@prachia77

Hello, I can seamlessly complete your React + FastAPI + MySQL project, transforming it into a true Multi-Agent RAG AI Research Assistant without rewriting your existing codebase. ## My Execution Plan: * Advanced RAG Pipeline: I will integrate ChromaDB/FAISS with Gemini embeddings, chunking text via PyMuPDF to allow accurate queries across single or multiple PDFs. * Multi-Agent System: I will build a real execution workflow using a Planner, Research, Summarizer, and Citation Agent to pull exact page references into chat answers. * Document & PPT Generation: I will use python-docx and python-pptx to generate structured, downloadable research reports and optional presentation slides. * UI Completion & Admin Panel: I will finish the remaining React pages (Dashboard, Reports, History, Settings) using your custom CSS, and build the Admin panel. ## Answers to your questions: * Completion: Yes, I can fully complete this project with clean, well-documented code ideal for an MCA major submission. * Timeline: I can deliver the functional application within my bid duration upon receiving the source code. * Cost: My bid matches your budget. * Code & Docs: Yes, you will receive the full source code and extensive documentation (architecture diagrams, setup guide, and API docs). I am ready to review your codebase and start immediately. Best regards, Webix Infotech

@ZohaibSathio

You need to finish QueryMesh: upload research papers, answer questions grounded only in those PDFs, and export reports/PPTs. This is exactly what I build. My Private Document Search API does semantic search over PDF/DOCX corpora - 100K+ docs, sub-500ms, 95% top-3 relevance, with source citations and an audit log - plus RAG chatbots on LangChain + Gemini/OpenAI. To finish yours cleanly: ingest -> chunk -> embed into your vector DB; answers strictly retrieval-grounded with citations + a confidence threshold so it never answers outside the uploaded papers; then generate the report (python-docx) and slides (python-pptx) from the synthesized, cited output. Clean, documented code since it's your major project. Which vector DB + LLM is it on now, and how many papers per query at peak? Portfolio: https://www.freelancer.com/u/ZohaibSathio - Zohaib, AI Engineer (Voice AI - Agents - RAG)

@Glexy111

Hello, I have seen your are looking AI developer working in React, FastAPI and Vector Database I am having 7 years of experienced as AI developer and I will work according to your research assistant, RAG pipeline, multi-agent workflow, citations, report generation and admin panel Please share more details of your project. Looking forward to your response Thanks

@abdullahalik

As an accomplished developer skilled in both front-end and back-end technologies, your project would be the perfect match for my expertise. With a particular focus on React, FastAPI, and MySQL - the current technology stack your project uses - I can ensure a smooth transition into completing the remaining functionalities. Reworking entire codebases is neither efficient nor necessary in most cases, and I appreciate your focus on preserving what has been already built. Rest assured, I will make sure to maintain your existing architecture while improving the features you've listed. In terms of my relevant experience, I have a deep understanding of AI and machine learning, backed with hands-on knowledge in implementing speech and language systems - an experience that aligns well with the core requirement of your project - a truly AI-powered multi-agent research assistant. Lastly, as a freelancer who emphasizes delivering high-quality, polished products, the clean UI and complete documentation specified as expected final features have always been part of my development process. If you choose me for this project, expect not only a comprehensive completion of your project but also timely delivery within our agreed-upon timeline. Together with providing the full source code and detailed documentation needed to maintain your platform's power and flexibility for future maintenance and scalability purposes. Thank you for considering my application.

@tatumm17

I can take your existing QueryMesh codebase and turn it into a proper multi‑agent RAG research assistant, keeping React + FastAPI + MySQL intact and avoiding any rewrite. I understand this is for your MCA final project and needs to be clean and well‑documented. I’ve built RAG systems with FAISS/Chroma, FastAPI backends, and React frontends using Google Gemini and OpenAI, including multi‑PDF support, agents (planner, summarizer, citation, report), and export to PDF/DOCX and PPTX. I’m comfortable optimizing your current auth, chat history, and workspace flows rather than replacing them. My approach would be to first review your repo, then design the RAG pipeline and agent workflow, implement remaining pages (reports, history, dashboard, admin, settings), and finalize documentation. Please share your code so I can confirm feasibility, timeline, and a fair fixed cost. I would love to chat more about your project! Regards