Academic Writer for IoT AgroSense Project
Budget: ₹2,500 – ₹5,000 INR
I cannot go any Higher than the Budget only who are ok with it make the bidding
Description:
I am looking for an experienced academic writer / researcher to write and publish a high-quality research paper based on a fully completed M.Tech project in the Embedded Systems and IoT domain.
The project is already built and documented — no development work is required. I need only the paper writing and publication support.
About the Project (AgroSense ARIA):
The project is AgroSense ARIA (AI-Driven Resource & Irrigation Analytics System) — a complete edge-AI precision farming operating system built on Raspberry Pi 3B + custom ESP32-S3 LoRa mesh nodes. Key technical contributions include:
A self-healing LoRa mesh network (2–100 nodes) with AES-128-CTR encryption, TDMA-lite slot staggering, runtime role promotion, and RTC-synchronized sleep cycles
Seven on-device ML inference models running fully offline on Raspberry Pi: MobileNetV2 (TFLite INT8) for crop disease detection, FAO-56 Penman-Monteith + Random Forest for irrigation planning, Gradient Boosting for yield forecasting, Random Forest classifier for crop recommendation, Isolation Forest for sensor anomaly detection, stage-aware NPK fertilizer scheduling, and a composite Farm-Plan ensemble
A three-tier LLM cascade (Anthropic Claude Haiku → Claude Code CLI → Ollama Qwen2.5:0.5B) with silent rule-based fallback for offline resilience
A trilingual voice assistant (English / Hindi / Telugu) with offline STT and online TTS
Custom PCB design (v1→v2) with solar MPPT (LT3652), power management, and full sensor suite
Validated results including sensor latency, LLM tier hit-rate, CPU/RAM profiling, and multi-hop mesh performance
The complete M.Tech thesis (~80 pages, first draft available) and all supporting data/figures are ready to share with the selected freelancer.
Scope of Work:
Read and understand the provided thesis report
Identify the strongest novel contribution(s) suitable for a research paper angle (e.g., the multi-model edge-AI pipeline, the self-healing LoRa mesh architecture, the LLM cascade with graceful degradation, the holistic system integration, or the trilingual voice interface — open to your recommendation)
Write a complete, publication-ready research paper (IEEE two-column or Springer LNCS format preferred):
Abstract, Introduction, Related Work, System Architecture, Methodology, Results & Discussion, Conclusion, References
Proper comparative analysis against existing literature
Figures and tables formatted to journal/conference standards
Identify a suitable Scopus/Web of Science indexed venue (journal preferred; high-quality indexed conference acceptable) and recommend it with justification
Handle the complete submission process: formatting per venue guidelines, portal submission, and revision/response to reviewer comments until acceptance
Requirements:
Prior publications in IEEE, Springer, or Elsevier venues (please share samples)
Strong background in: IoT, Edge AI, LoRa/LPWAN, Embedded Systems, Precision Agriculture — any combination
Familiarity with IEEE/Springer manuscript formatting tools (LaTeX preferred)
Plagiarism-free work — Turnitin or iThenticate report required (below 10%)
AI-generated content must comply with target venue policy — disclosure report required
Fluent academic English writing
Deliverables:
Final paper in required journal/conference format (LaTeX + PDF)
Plagiarism report (< 10%)
AI-content compliance/disclosure report as per venue guidelines
Proof of submission confirmation
Continued support through reviewer revisions until acceptance
What I Will Provide:
Complete M.Tech thesis report (first draft, ~80 pages)
All experimental results, figures, tables, and data
PCB design files and system architecture diagrams
Full access for clarification questions
Timeline: Paper draft within 2 weeks of engagement; submission within 3 weeks.
Please include in your proposal:
Your recommended paper angle/contribution focus from the project description above
Target journal or conference you recommend, with your justification (impact factor / indexing)
At least one sample of a previously published paper you authored or co-authored
Description:
I am looking for an experienced academic writer / researcher to write and publish a high-quality research paper based on a fully completed M.Tech project in the Embedded Systems and IoT domain.
The project is already built and documented — no development work is required. I need only the paper writing and publication support.
About the Project (AgroSense ARIA):
The project is AgroSense ARIA (AI-Driven Resource & Irrigation Analytics System) — a complete edge-AI precision farming operating system built on Raspberry Pi 3B + custom ESP32-S3 LoRa mesh nodes. Key technical contributions include:
A self-healing LoRa mesh network (2–100 nodes) with AES-128-CTR encryption, TDMA-lite slot staggering, runtime role promotion, and RTC-synchronized sleep cycles
Seven on-device ML inference models running fully offline on Raspberry Pi: MobileNetV2 (TFLite INT8) for crop disease detection, FAO-56 Penman-Monteith + Random Forest for irrigation planning, Gradient Boosting for yield forecasting, Random Forest classifier for crop recommendation, Isolation Forest for sensor anomaly detection, stage-aware NPK fertilizer scheduling, and a composite Farm-Plan ensemble
A three-tier LLM cascade (Anthropic Claude Haiku → Claude Code CLI → Ollama Qwen2.5:0.5B) with silent rule-based fallback for offline resilience
A trilingual voice assistant (English / Hindi / Telugu) with offline STT and online TTS
Custom PCB design (v1→v2) with solar MPPT (LT3652), power management, and full sensor suite
Validated results including sensor latency, LLM tier hit-rate, CPU/RAM profiling, and multi-hop mesh performance
The complete M.Tech thesis (~80 pages, first draft available) and all supporting data/figures are ready to share with the selected freelancer.
Scope of Work:
Read and understand the provided thesis report
Identify the strongest novel contribution(s) suitable for a research paper angle (e.g., the multi-model edge-AI pipeline, the self-healing LoRa mesh architecture, the LLM cascade with graceful degradation, the holistic system integration, or the trilingual voice interface — open to your recommendation)
Write a complete, publication-ready research paper (IEEE two-column or Springer LNCS format preferred):
Abstract, Introduction, Related Work, System Architecture, Methodology, Results & Discussion, Conclusion, References
Proper comparative analysis against existing literature
Figures and tables formatted to journal/conference standards
Identify a suitable Scopus/Web of Science indexed venue (journal preferred; high-quality indexed conference acceptable) and recommend it with justification
Handle the complete submission process: formatting per venue guidelines, portal submission, and revision/response to reviewer comments until acceptance
Requirements:
Prior publications in IEEE, Springer, or Elsevier venues (please share samples)
Strong background in: IoT, Edge AI, LoRa/LPWAN, Embedded Systems, Precision Agriculture — any combination
Familiarity with IEEE/Springer manuscript formatting tools (LaTeX preferred)
Plagiarism-free work — Turnitin or iThenticate report required (below 10%)
AI-generated content must comply with target venue policy — disclosure report required
Fluent academic English writing
Deliverables:
Final paper in required journal/conference format (LaTeX + PDF)
Plagiarism report (< 10%)
AI-content compliance/disclosure report as per venue guidelines
Proof of submission confirmation
Continued support through reviewer revisions until acceptance
What I Will Provide:
Complete M.Tech thesis report (first draft, ~80 pages)
All experimental results, figures, tables, and data
PCB design files and system architecture diagrams
Full access for clarification questions
Timeline: Paper draft within 2 weeks of engagement; submission within 3 weeks.
Please include in your proposal:
Your recommended paper angle/contribution focus from the project description above
Target journal or conference you recommend, with your justification (impact factor / indexing)
At least one sample of a previously published paper you authored or co-authored