Graduate Course Advisor Chatbot

@Hrolgar

I'd start by wiring the webhook fulfillment against the actual prerequisite and term-availability data rather than the conversation flows, since that's what turns generic Q&A into a real semester-by-semester plan and it's the piece most likely to reveal gaps in the catalog data early. Dialogflow CX handles the multi-turn slot filling for major, track and completed courses cleanly, and rather than building separate integrations for web, the mobile app and a social channel, the native web widget covers the site, Messenger covers the social piece, and the mobile app gets a thin webview wrapper around the same widget so there's one conversational engine instead of three. The webhook layer sits in front of the actual course graph, checks prerequisites and term offerings, and flags a plan the moment two required courses only run in the same term or a prerequisite chain doesn't clear in time. The admin panel is where staff edit courses, terms and electives without touching config, which is also what keeps the bot's answers correct term to term without a developer in the loop. 750 USD over 12 days, split so the graph and admin panel are proven before the channels get wired on top: M1: Course data model, prerequisite/term logic, admin panel for staff to manage the catalog, $250, 5 days. M2: Dialogflow CX agent, semester-plan generation, conflict flagging, $300, 4 days. M3: Web widget, Messenger integration, mobile webview, testing across all three, $200, 3 days. That price is built off the brief as written, and the one thing likely to move it is the actual size and messiness of the current course catalog and how many tracks/electives it covers, so I'd want a look at that before locking the final number.

@SkillCrafts

I understand the need for an intelligent, accessible academic advisor, much like the AI-powered student support systems I've developed for universities that successfully navigated complex course catalogs and real-time availability to guide students towards timely graduation. My approach will leverage a combination of Natural Language Understanding (NLU) for precise intent recognition and entity extraction (student goals, met prerequisites, course codes) and a knowledge graph to model your graduate catalog. This will enable dynamic pathfinding, considering term-by-term offerings and prerequisite chains. We'll integrate with your existing systems via APIs for real-time data. Deployment across web, mobile app, and a social channel will be handled through a unified backend, ensuring consistent experience. How are you currently managing the graduate catalog data, and what are the primary technical constraints or integrations you anticipate for the mobile app and social channel deployment? I’m available for a brief call to discuss your specific needs and how this can be implemented efficiently.

@sf264

Hey, I understand you need an academic advisor chatbot that can use the course catalog, prerequisites, student goals and term availability to build valid semester-by-semester plans, while also detecting conflicts and suggesting alternatives. I can build the core AI/chatbot in Python with a structured catalog/RAG + rule-based planning layer, then expose it through APIs for the website, mobile app and Messenger, with a lightweight admin panel for staff to update courses and rules. I’ve worked on similar AI/automation projects and can keep the responses natural while making the course-selection logic reliable. If you message me, I can walk you through how I’d structure the catalog and planning engine for your requirements. Best regards, Fahad.

@mughiraaa

hi, i understand you’re looking for an ai academic advisor that can recommend valid course paths and work across your website, mobile app and social channel. can we have a quick meeting to discuss the catalog, student flow and your expectations? i’d like to understand the setup properly before suggesting the approach. mughiraa

@Aaleen110

The risk of maintaining conversational coherence across distinct platforms, website, app, and social channels, needs careful handling. I build this by structuring the core AI interaction using a dedicated NLP engine, then using platform-specific APIs to deliver that experience, so the AI logic stays consistent everywhere. This delivers an always-on academic advisor that speaks their language and knows your catalog inside out, recommending an optimal path through core courses and electives. I use Python with a Transformer model for Natural Language Processing and AI Integration. Does the student catalog data come in a structured format, or will it require significant parsing first? I need your catalog data to begin building. I have a 5.0 rating across 10 reviews on here, and Preferred Freelancer status.

@muhammadsaad90

Hi there, What specific challenges are your students currently facing with course selection? I can create a tailored chatbot that provides smart, real-time academic advice to enhance their experience. I propose utilizing a scalable NLP framework that can seamlessly integrate with your catalog and existing platforms, ensuring a smooth conversation flow across the public website, mobile app, and a social channel like Messenger. The bot will accurately recommend semester-by-semester plans, flag conflicts, and present alternatives effectively. With 5+ years of experience in chatbot development and integration, I will design the dialogue, build and train the model, and deliver an intuitive admin console for easy updates. Acceptance criteria like response time and end-to-end testing will be prioritized. Let’s connect to discuss this further!

@ImranAli01

Hello, I got that you are looking for an always-on academic advisor that will recommend valid semester-by-semester course paths using student goals, prerequisites, availability, core requirements, and specialization rules across web, mobile, and social channels. This is what I can help you with, let's chat. My approach is to use Python/FastAPI with LangChain/LangGraph and an LLM, combining catalog data with rule-based validation for prerequisites, credits, track eligibility, term availability, and schedule conflicts. I will expose the backend through web, mobile, and Messenger integrations, with a lightweight admin console for staff to update courses and rules without code changes. I will also optimize responses for the under-two-second requirement. As final deliverables you will receive the chatbot, catalog integration, planning logic, conflict detection, channel integrations, admin console, testing, deployment, documentation, and knowledge-transfer call. I will share a clear project blueprint within 24–48 hours of award covering architecture, dialogue flow, integrations, milestones, and delivery timeline. One thing I'd like to confirm before we start: is the catalog available through an API/database or files? Let's discuss the catalog structure and channel requirements so I can map the implementation clearly. Best Regards, Imran

@invoketech

Hello, I have reviewed your requirements and can build the graduate course advisor chatbot with a strong focus on accurate course planning, prerequisites, track rules, and term availability. I have 10+ years of experience with Python, AI/LLM integrations, NLP, RAG, APIs, mobile/web integrations, and admin platforms. I can connect the bot to your course catalog and student data, generate semester-by-semester study plans, detect prerequisite and schedule conflicts, suggest alternatives, and deploy the same conversational experience across your website, mobile app, and Messenger. Working Flow: Catalog Integration → AI/NLP & RAG → Course Planning Engine → Web/Mobile/Messenger → Admin Console → Testing & Deployment I can target the required response time and validate the complete advising flow through staging and end-to-end testing. Please share the catalog structure and existing mobile/API setup so I can review the integration approach. Thanks, Invoke Tech

@abdulhamidh2

Hi, I can help redesign your website into a modern, premium experience that puts your creative work and portfolio first. I’ll focus on strong visual presentation, clean responsive layouts, fast performance, SEO-friendly structure, and an easy CMS so your team can update content without relying on a developer. I can work from your existing content and ideas while adding the design direction needed to present your fabrication and experiential work at a high level. I’d be happy to discuss the style and direction you have in mind. Thanks

@cuyodigital

:) Hola, soy Ricardo de Buenos Aires. :) Lo que tienes no es simplemente un chatbot, es un problema de reglas academicas conversacionales. El bot debe convertir objetivos, prerrequisitos, disponibilidad y restricciones de cada especializacion en un plan valido, no solo responder preguntas sobre el catalogo. Primero estructuraria el catalogo y las reglas como una fuente de datos consultable, separando la logica academica del modelo conversacional. Luego disenaria los flujos para recomendar semestres, detectar prerrequisitos y conflictos, y sugerir alternativas. Despues integraria el mismo servicio con web, app y un canal social, junto con un panel para que el personal actualice cursos y reglas. Finalmente probaria los planes generados y las integraciones de extremo a extremo. Evitaria entrenar reglas academicas directamente dentro del modelo, para que los cambios del catalogo no requieran volver a entrenar todo el sistema. La fuente del catalogo tiene ya una API o deberia conectarse directamente a archivos/base de datos? Puedo esquematizar gratis la arquitectura catalogo -> reglas -> IA -> canales antes de que decidas. Sin compromiso. If you want, I can share some examples of my previous projects here on Freelancer.com, so you can evaluate my skills and experience.

@AnjosGustavo

Hi, This strongly matches my Senior ML/Data Science background in LLMs, NLP, RAG, recommendation systems, agents, APIs, and production AI platforms. I’d treat course planning as a constrained decision problem, not simply an LLM chatbot: Student Profile + Catalog + Prerequisites + Availability + Track Rules - Validated Semester Plan. The LLM handles natural conversation, while deterministic rules validate prerequisites, credits, scheduling conflicts, and graduation requirements. RAG keeps catalog answers grounded and traceable. I can build a shared backend for web, mobile, and social channels plus an admin interface for catalog/rule updates. My engineering and research approach emphasizes measurable accuracy, <2s performance optimization, load testing, edge-case analysis, and end-to-end validation. I take high responsibility for reliable delivery and maintainable architecture. Best, Gustavo

@mayankinnovative

I understand you need an always-on academic advisor focused specifically on course selection, capable of understanding student goals, completed prerequisites, track policies, and term availability to generate valid semester-by-semester plans. I’ll build a scalable NLP chatbot using Rasa/Dialogflow or a suitable framework, with catalog-driven recommendation logic rather than relying only on training data. It will detect unmet prerequisites, schedule conflicts, credit/track constraints, and suggest valid alternatives conversationally. I’ll expose the same backend through a web widget, iOS/Android SDK/API, and Messenger, with secure authentication and <2s response targets. A lightweight admin console will let staff update courses, prerequisites, availability, and track rules without code changes. I’ll handle staging E2E testing, load/performance testing, production deployment, documentation in Markdown/PDF, and knowledge transfer. The result will be maintainable, reliable, and ready for production handoff.

@autoverse

Hello, I’d be happy to build your AI academic advisor as a reliable, always-available course selection assistant. The chatbot can understand each student’s goals, completed prerequisites, preferred specialization, and upcoming terms, then generate a valid semester-by-semester study plan based strictly on your course catalog and academic policies. Key features I can implement: Course catalog and prerequisite integration Core, elective, and specialization-track planning Semester-by-semester recommendations Detection of unmet prerequisites and scheduling conflicts Alternative course suggestions Natural conversational experience with context retention Website chatbot widget Mobile app integration through APIs/SDKs Messenger integration Admin dashboard for staff to update courses and rules Logging, monitoring, testing, and performance optimization I would keep academic rules and validation deterministic, using AI for natural-language understanding and conversation rather than allowing it to invent requirements. I’ll also handle staging, end-to-end testing, documentation, deployment, and knowledge transfer. If you provide the course catalog, specialization rules, and sample student profiles, I can turn them into a clear architecture and implementation plan and start building the system.

@naminghn

Hi there, for your graduate course advisor chatbot, it’s essential to ensure a seamless connection with your up-to-date course catalog while providing tailored course selection guidance for students. Leveraging a framework like Rasa or Dialogflow, I can design a fluid conversation flow that meets student goals and prerequisites while addressing conflicts and suggesting alternatives promptly within two seconds. Additionally, I will implement the necessary integrations to ensure the chatbot functions across your public website, mobile app, and a social media channel like Messenger. A lightweight admin console will allow staff to update course information without technical expertise. I'm excited to bring this project to life and ensure the chatbot exceeds your expectations. Regards, Ali

@obademio1

Hello, I am Olusoji, an experienced AI Chatbot Developer with expertise in AI Content Creation and AI Development. I have over 10 years of experience in creating intelligent chatbots tailored to specific needs. I have carefully reviewed your project requirements for the Graduate Course Advisor Chatbot. I understand the need for a conversational academic advisor that can provide course selection advice to graduate students efficiently. I am confident in my ability to design the dialogue, build and train the model, and seamlessly integrate it with your course catalog data source. Additionally, I will ensure that the chatbot is easily accessible across various platforms, providing a natural and user-friendly conversation flow. I would love to discuss this project further with you. Please start the chat so we can explore the details and requirements in more depth. Best regards, Olusoji

@PINESCRIPTERR

Hi, I understand you need an always-on academic advisor focused specifically on course-selection guidance, with the same conversational experience available across your website, existing mobile app and a social channel. I can design the dialogue around student goals, completed prerequisites, course availability, credit requirements and specialization rules, then connect the chatbot to the course catalog so recommendations are generated from current data rather than static training content. The logic can validate prerequisites, identify scheduling conflicts and suggest valid alternatives within the same conversation. For the NLP layer, I can work with a scalable architecture using Dialogflow, Rasa, Microsoft Bot Framework or another suitable stack, with the conversation logic separated from catalog data and business rules so staff can update courses and requirements without retraining the entire system. I can expose the same backend through a web widget, mobile SDK/API integration and Messenger or another supported social channel. I’ll also include a lightweight administration interface for managing courses, availability and recommendation rules, followed by staging-based end-to-end testing, load testing and documentation for deployment and ongoing administration. Best regards, Houssame

@markkien

Hi, I can see the challenge is, Implement a unified, highly responsive course‑planning chatbot that consumes a structured catalog, respects prerequisites and term availability, and delivers coherent semester plans while flagging conflicts in real time. We’ll build a stateless intent‑driven service on a chosen NLP platform, exposing a REST API that accepts a student profile, goal, and current schedule, and returns a JSON plan. The API will query a PostgreSQL catalog, cache prerequisites, and run a constraint‑solver (e.g., OR‑Tools) to generate optimal paths. A lightweight admin UI will expose catalog CRUD plus rule overrides; changes will trigger a webhook to refresh the in‑memory cache. The same API will be wrapped by a small JavaScript SDK for web widgets, a Swift/Java SDK for mobile, and a Messenger bot connector using the platform’s webhook. Deliverable: a production‑ready, fully documented microservice with SDKs for web, iOS, Android, and Messenger, plus an admin console and end‑to‑end integration tests. I have deployed multi‑channel chatbots with sub‑second latency and custom constraint solvers for university advising. I can start immediately. Regards.

@andrem939

Hello, I am a Full Stack Software Engineer with extensive experience in building intelligent chatbots and AI-powered applications. I have worked on projects that involve natural language processing and conversation design, ensuring seamless interaction with users. My technical skills include proficiency in various backend and frontend technologies, as well as expertise in integrating AI systems with existing platforms. I understand your need for a chatbot that provides personalized course selection advice, flags conflicts, and offers alternatives. I can deliver a solution that meets your requirements with a user-friendly admin console for easy adjustments. My focus is on creating reliable, efficient, and scalable applications. I am confident in my ability to complete this project successfully and on time. Thanks!

@darialc9

Hello, client ⭐ The key challenge is making the advisor recommend valid academic paths from prerequisites, availability, specialization rules, and student goals—not simply creating a conversational chatbot. ⭐ I can build the system around a structured course-eligibility engine plus LLM/NLP conversation, connecting your catalog data and student profiles, detecting prerequisite/time conflicts, and generating semester-by-semester plans with alternatives. I’ll expose the same backend through a web widget, iOS/Android SDK, and Messenger, with a lightweight admin console for staff to update courses and rules without code, while targeting sub-2-second responses and full staging/end-to-end testing. **Please see my portfolio for relevant AI, LLM, chatbot, NLP, API integration, and full-stack systems demonstrating the solutions I deliver.** Best regards, Darial